chore: bump sidecar version to 1.0.7 [skip ci]

CUDA sidecars are ~2GB and too slow to upload from the Windows runner.
Cloud (Deepgram) provides faster transcription anyway. Removed:

- CUDA build steps from Windows and Linux sidecar workflows
- CUDA option from the SidecarSetup download screen

Remaining sidecar variants:
- Cloud (Deepgram): ~50 MB - recommended for most users
- Local CPU: ~500 MB - for offline/privacy use

CUDA can be revisited once the managed Deepgram service is ready.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

.claude/settings.local.json

@@ -0,0 +1,9 @@
+{
+  "permissions": {
+    "allow": [
+      "Bash(python3:*)",
+      "Bash(node --check:*)",
+      "Bash(ls:*)"
+    ]
+  }
+}

.gitea/workflows/build-app-linux.yml

@@ -0,0 +1,95 @@
+name: Build App (Linux)
+
+on:
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Release tag to build (e.g. v1.4.5)'
+        required: true
+
+jobs:
+  build-linux:
+    name: Build App (Linux)
+    runs-on: ubuntu-latest
+    env:
+      NODE_VERSION: "20"
+      RELEASE_TAG: "${{ inputs.tag }}"
+    steps:
+      - name: Show tag
+        run: |
+          echo "Building for tag: ${RELEASE_TAG}"
+
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ env.NODE_VERSION }}
+
+      - name: Install Rust stable
+        run: |
+          curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y --default-toolchain stable
+          echo "$HOME/.cargo/bin" >> $GITHUB_PATH
+
+      - name: Install system dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y libgtk-3-dev libwebkit2gtk-4.1-dev libappindicator3-dev librsvg2-dev patchelf xdg-utils rpm
+
+      - name: Install npm dependencies
+        run: npm ci
+
+      - name: Build Tauri app
+        run: npm run tauri build
+
+      - name: Upload to release
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          sudo apt-get install -y jq
+          REPO_API="${GITHUB_SERVER_URL}/api/v1/repos/${GITHUB_REPOSITORY}"
+          TAG="${RELEASE_TAG}"
+          echo "Release tag: ${TAG}"
+
+          echo "Waiting for release ${TAG} to be available..."
+          RELEASE_ID=""
+          for i in $(seq 1 30); do
+            RELEASE_JSON=$(curl -s -H "Authorization: token ${BUILD_TOKEN}" \
+              "${REPO_API}/releases/tags/${TAG}")
+            RELEASE_ID=$(echo "$RELEASE_JSON" | jq -r '.id // empty')
+
+            if [ -n "${RELEASE_ID}" ] && [ "${RELEASE_ID}" != "null" ]; then
+              echo "Found release: ${TAG} (ID: ${RELEASE_ID})"
+              break
+            fi
+
+            echo "Attempt ${i}/30: Release not ready yet, retrying in 10s..."
+            sleep 10
+          done
+
+          if [ -z "${RELEASE_ID}" ] || [ "${RELEASE_ID}" = "null" ]; then
+            echo "ERROR: Failed to find release for tag ${TAG} after 30 attempts."
+            exit 1
+          fi
+
+          find src-tauri/target/release/bundle -type f \( -name "*.deb" -o -name "*.rpm" -o -name "*.AppImage" \) | while IFS= read -r file; do
+            filename=$(basename "$file")
+            encoded_name=$(echo "$filename" | sed 's/ /%20/g')
+            echo "Uploading ${filename} ($(du -h "$file" | cut -f1))..."
+
+            ASSET_ID=$(curl -s -H "Authorization: token ${BUILD_TOKEN}" \
+              "${REPO_API}/releases/${RELEASE_ID}/assets" | jq -r ".[] | select(.name == \"${filename}\") | .id // empty")
+            if [ -n "${ASSET_ID}" ]; then
+              curl -s -X DELETE -H "Authorization: token ${BUILD_TOKEN}" \
+                "${REPO_API}/releases/${RELEASE_ID}/assets/${ASSET_ID}"
+            fi
+
+            HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" -X POST \
+              -H "Authorization: token ${BUILD_TOKEN}" \
+              -H "Content-Type: application/octet-stream" \
+              -T "$file" \
+              "${REPO_API}/releases/${RELEASE_ID}/assets?name=${encoded_name}")
+            echo "Upload response: HTTP ${HTTP_CODE}"
+          done

.gitea/workflows/build-app-macos.yml

@@ -0,0 +1,93 @@
+name: Build App (macOS)
+
+on:
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Release tag to build (e.g. v1.4.5)'
+        required: true
+
+jobs:
+  build-macos:
+    name: Build App (macOS)
+    runs-on: macos-latest
+    env:
+      NODE_VERSION: "20"
+      RELEASE_TAG: "${{ inputs.tag }}"
+    steps:
+      - name: Show tag
+        run: |
+          echo "Building for tag: ${RELEASE_TAG}"
+
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ env.NODE_VERSION }}
+
+      - name: Install Rust stable
+        run: |
+          curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y --default-toolchain stable
+          echo "$HOME/.cargo/bin" >> $GITHUB_PATH
+
+      - name: Install system dependencies
+        run: brew install --quiet create-dmg || true
+
+      - name: Install npm dependencies
+        run: npm ci
+
+      - name: Build Tauri app
+        run: npm run tauri build
+
+      - name: Upload to release
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          which jq || brew install jq
+          REPO_API="${GITHUB_SERVER_URL}/api/v1/repos/${GITHUB_REPOSITORY}"
+          TAG="${RELEASE_TAG}"
+          echo "Release tag: ${TAG}"
+
+          echo "Waiting for release ${TAG} to be available..."
+          RELEASE_ID=""
+          for i in $(seq 1 30); do
+            RELEASE_JSON=$(curl -s -H "Authorization: token ${BUILD_TOKEN}" \
+              "${REPO_API}/releases/tags/${TAG}")
+            RELEASE_ID=$(echo "$RELEASE_JSON" | jq -r '.id // empty')
+
+            if [ -n "${RELEASE_ID}" ] && [ "${RELEASE_ID}" != "null" ]; then
+              echo "Found release: ${TAG} (ID: ${RELEASE_ID})"
+              break
+            fi
+
+            echo "Attempt ${i}/30: Release not ready yet, retrying in 10s..."
+            sleep 10
+          done
+
+          if [ -z "${RELEASE_ID}" ] || [ "${RELEASE_ID}" = "null" ]; then
+            echo "ERROR: Failed to find release for tag ${TAG} after 30 attempts."
+            exit 1
+          fi
+
+          find src-tauri/target/release/bundle -type f -name "*.dmg" | while IFS= read -r file; do
+            filename=$(basename "$file")
+            encoded_name=$(echo "$filename" | sed 's/ /%20/g')
+            echo "Uploading ${filename} ($(du -h "$file" | cut -f1))..."
+
+            ASSET_ID=$(curl -s -H "Authorization: token ${BUILD_TOKEN}" \
+              "${REPO_API}/releases/${RELEASE_ID}/assets" | jq -r ".[] | select(.name == \"${filename}\") | .id // empty")
+            if [ -n "${ASSET_ID}" ]; then
+              curl -s -X DELETE -H "Authorization: token ${BUILD_TOKEN}" \
+                "${REPO_API}/releases/${RELEASE_ID}/assets/${ASSET_ID}"
+            fi
+
+            HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" -X POST \
+              -H "Authorization: token ${BUILD_TOKEN}" \
+              -H "Content-Type: application/octet-stream" \
+              -T "$file" \
+              "${REPO_API}/releases/${RELEASE_ID}/assets?name=${encoded_name}")
+            echo "Upload response: HTTP ${HTTP_CODE}"
+          done

.gitea/workflows/build-app-windows.yml

@@ -0,0 +1,117 @@
+name: Build App (Windows)
+
+on:
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Release tag to build (e.g. v1.4.5)'
+        required: true
+
+env:
+  NODE_VERSION: "20"
+
+jobs:
+  build-windows:
+    name: Build App (Windows)
+    runs-on: windows-latest
+    env:
+      RELEASE_TAG: "${{ inputs.tag }}"
+    steps:
+      - name: Show tag
+        shell: powershell
+        run: |
+          Write-Host "Building for tag: $env:RELEASE_TAG"
+
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ env.NODE_VERSION }}
+
+      - name: Install Rust stable
+        shell: powershell
+        run: |
+          if (Get-Command rustup -ErrorAction SilentlyContinue) {
+            rustup default stable
+          } else {
+            Invoke-WebRequest -Uri https://win.rustup.rs/x86_64 -OutFile rustup-init.exe
+            .\rustup-init.exe -y --default-toolchain stable
+            echo "$env:USERPROFILE\.cargo\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
+          }
+
+      - name: Install npm dependencies
+        shell: powershell
+        run: npm ci
+
+      - name: Build Tauri app
+        shell: powershell
+        run: npm run tauri build
+
+      - name: Upload to release
+        shell: powershell
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          $REPO_API = "${{ github.server_url }}/api/v1/repos/${{ github.repository }}"
+          $Headers = @{ "Authorization" = "token $env:BUILD_TOKEN" }
+          $TAG = $env:RELEASE_TAG
+          Write-Host "Release tag: $TAG"
+
+          if (-not $TAG) {
+            Write-Host "ERROR: RELEASE_TAG is empty"
+            exit 1
+          }
+
+          Write-Host "Waiting for release $TAG to be available..."
+          $RELEASE_ID = $null
+
+          for ($i = 1; $i -le 30; $i++) {
+            try {
+              $release = Invoke-RestMethod -Uri "$REPO_API/releases/tags/$TAG" -Headers $Headers -ErrorAction Stop
+              $RELEASE_ID = $release.id
+
+              if ($RELEASE_ID) {
+                Write-Host "Found release: $TAG (ID: $RELEASE_ID)"
+                break
+              }
+            } catch {}
+
+            Write-Host "Attempt ${i}/30: Release not ready yet, retrying in 10s..."
+            Start-Sleep -Seconds 10
+          }
+
+          if (-not $RELEASE_ID) {
+            Write-Host "ERROR: Failed to find release for tag $TAG after 30 attempts."
+            exit 1
+          }
+
+          Get-ChildItem -Path src-tauri\target\release\bundle -Recurse -Include *.msi,*-setup.exe | ForEach-Object {
+            $filename = $_.Name
+            $encodedName = [System.Uri]::EscapeDataString($filename)
+            $size = [math]::Round($_.Length / 1MB, 1)
+            Write-Host "Uploading $filename ($size MB)..."
+
+            try {
+              $assets = Invoke-RestMethod -Uri "$REPO_API/releases/$RELEASE_ID/assets" -Headers $Headers
+              $existing = $assets | Where-Object { $_.name -eq $filename }
+              if ($existing) {
+                Invoke-RestMethod -Uri "$REPO_API/releases/$RELEASE_ID/assets/$($existing.id)" -Method Delete -Headers $Headers
+              }
+            } catch {}
+
+            $uploadUrl = "$REPO_API/releases/$RELEASE_ID/assets?name=$encodedName"
+            $result = curl.exe --fail --silent --show-error `
+              -X POST `
+              -H "Authorization: token $env:BUILD_TOKEN" `
+              -H "Content-Type: application/octet-stream" `
+              -T "$($_.FullName)" `
+              "$uploadUrl" 2>&1
+            if ($LASTEXITCODE -eq 0) {
+              Write-Host "Upload successful: $filename"
+            } else {
+              Write-Host "WARNING: Upload failed for ${filename}: $result"
+            }
+          }

.gitea/workflows/build-sidecar-cloud.yml

@@ -0,0 +1,229 @@
+name: Build Sidecar (Cloud)
+
+on:
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Sidecar release tag to build (e.g. sidecar-v1.0.5)'
+        required: true
+
+jobs:
+  build-cloud-linux:
+    name: Build Cloud Sidecar (Linux)
+    runs-on: ubuntu-latest
+    env:
+      PYTHON_VERSION: "3.11"
+      RELEASE_TAG: "${{ inputs.tag }}"
+    steps:
+      - name: Show tag
+        run: |
+          echo "Building cloud sidecar for tag ${RELEASE_TAG}"
+
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
+
+      - name: Install uv
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          echo "$HOME/.local/bin" >> $GITHUB_PATH
+
+      - name: Set up Python
+        run: uv python install ${{ env.PYTHON_VERSION }}
+
+      - name: Install system dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y portaudio19-dev
+
+      - name: Build cloud sidecar
+        env:
+          UV_NO_SOURCES: "1"
+        run: |
+          uv venv
+          uv pip install pyinstaller numpy sounddevice fastapi uvicorn websockets pydantic requests pyyaml packaging
+          .venv/bin/pyinstaller local-transcription-cloud.spec
+
+      - name: Package
+        run: |
+          cd dist/local-transcription-backend && zip -r ../../sidecar-linux-x86_64-cloud.zip .
+
+      - name: Upload to release
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          sudo apt-get install -y jq
+          REPO_API="${GITHUB_SERVER_URL}/api/v1/repos/${GITHUB_REPOSITORY}"
+          TAG="${RELEASE_TAG}"
+
+          for i in $(seq 1 30); do
+            RELEASE_ID=$(curl -s -H "Authorization: token ${BUILD_TOKEN}" \
+              "${REPO_API}/releases/tags/${TAG}" | jq -r '.id // empty')
+            if [ -n "${RELEASE_ID}" ] && [ "${RELEASE_ID}" != "null" ]; then
+              echo "Found release ${TAG} (ID: ${RELEASE_ID})"
+              break
+            fi
+            echo "Attempt ${i}/30: waiting for release..."
+            sleep 10
+          done
+
+          if [ -z "${RELEASE_ID}" ] || [ "${RELEASE_ID}" = "null" ]; then
+            echo "ERROR: Release not found"; exit 1
+          fi
+
+          for file in sidecar-*-cloud.zip; do
+            filename=$(basename "$file")
+            ASSET_ID=$(curl -s -H "Authorization: token ${BUILD_TOKEN}" \
+              "${REPO_API}/releases/${RELEASE_ID}/assets" | jq -r ".[] | select(.name == \"${filename}\") | .id // empty")
+            [ -n "${ASSET_ID}" ] && curl -s -X DELETE -H "Authorization: token ${BUILD_TOKEN}" "${REPO_API}/releases/${RELEASE_ID}/assets/${ASSET_ID}"
+            curl -s -o /dev/null -w "Upload ${filename}: HTTP %{http_code}\n" -X POST \
+              -H "Authorization: token ${BUILD_TOKEN}" -H "Content-Type: application/octet-stream" \
+              -T "$file" "${REPO_API}/releases/${RELEASE_ID}/assets?name=${filename}"
+          done
+
+  build-cloud-windows:
+    name: Build Cloud Sidecar (Windows)
+    runs-on: windows-latest
+    env:
+      PYTHON_VERSION: "3.11"
+      RELEASE_TAG: "${{ inputs.tag }}"
+    steps:
+      - name: Show tag
+        shell: powershell
+        run: Write-Host "Building cloud sidecar for tag $env:RELEASE_TAG"
+
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
+
+      - name: Install uv
+        shell: powershell
+        run: |
+          if (Get-Command uv -ErrorAction SilentlyContinue) {
+            Write-Host "uv already installed"
+          } else {
+            irm https://astral.sh/uv/install.ps1 | iex
+            $uvPaths = @("$env:USERPROFILE\.local\bin", "$env:USERPROFILE\.cargo\bin", "$env:LOCALAPPDATA\uv\bin")
+            foreach ($p in $uvPaths) { if (Test-Path $p) { echo $p | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append } }
+          }
+
+      - name: Set up Python
+        shell: powershell
+        run: uv python install ${{ env.PYTHON_VERSION }}
+
+      - name: Build cloud sidecar
+        shell: powershell
+        env:
+          UV_NO_SOURCES: "1"
+        run: |
+          uv venv
+          uv pip install pyinstaller numpy sounddevice fastapi uvicorn websockets pydantic requests pyyaml packaging
+          .venv\Scripts\pyinstaller.exe local-transcription-cloud.spec
+
+      - name: Package
+        shell: powershell
+        run: |
+          if (-not (Get-Command 7z -ErrorAction SilentlyContinue)) { choco install 7zip -y }
+          7z a -tzip -mx=5 sidecar-windows-x86_64-cloud.zip .\dist\local-transcription-backend\*
+
+      - name: Upload to release
+        shell: powershell
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          $REPO_API = "${{ github.server_url }}/api/v1/repos/${{ github.repository }}"
+          $Headers = @{ "Authorization" = "token $env:BUILD_TOKEN" }
+          $TAG = $env:RELEASE_TAG
+
+          $RELEASE_ID = $null
+          for ($i = 1; $i -le 30; $i++) {
+            try {
+              $release = Invoke-RestMethod -Uri "$REPO_API/releases/tags/$TAG" -Headers $Headers -ErrorAction Stop
+              $RELEASE_ID = $release.id
+              if ($RELEASE_ID) { Write-Host "Found release $TAG (ID: $RELEASE_ID)"; break }
+            } catch {}
+            Write-Host "Attempt ${i}/30: waiting..."; Start-Sleep -Seconds 10
+          }
+          if (-not $RELEASE_ID) { Write-Host "ERROR: Release not found"; exit 1 }
+
+          Get-ChildItem -Path . -Filter "sidecar-*-cloud.zip" | ForEach-Object {
+            $fn = $_.Name; $enc = [System.Uri]::EscapeDataString($fn)
+            try {
+              $assets = Invoke-RestMethod -Uri "$REPO_API/releases/$RELEASE_ID/assets" -Headers $Headers
+              $existing = $assets | Where-Object { $_.name -eq $fn }
+              if ($existing) { Invoke-RestMethod -Uri "$REPO_API/releases/$RELEASE_ID/assets/$($existing.id)" -Method Delete -Headers $Headers }
+            } catch {}
+            curl.exe --fail -s -X POST -H "Authorization: token $env:BUILD_TOKEN" -H "Content-Type: application/octet-stream" -T "$($_.FullName)" "$REPO_API/releases/$RELEASE_ID/assets?name=$enc"
+            Write-Host "Uploaded $fn"
+          }
+
+  build-cloud-macos:
+    name: Build Cloud Sidecar (macOS)
+    runs-on: macos-latest
+    env:
+      PYTHON_VERSION: "3.11"
+      RELEASE_TAG: "${{ inputs.tag }}"
+    steps:
+      - name: Show tag
+        run: |
+          echo "Building cloud sidecar for tag ${RELEASE_TAG}"
+
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
+
+      - name: Install uv
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          echo "$HOME/.local/bin" >> $GITHUB_PATH
+
+      - name: Set up Python
+        run: uv python install ${{ env.PYTHON_VERSION }}
+
+      - name: Install system dependencies
+        run: brew install portaudio
+
+      - name: Build cloud sidecar
+        env:
+          UV_NO_SOURCES: "1"
+        run: |
+          uv venv
+          uv pip install pyinstaller numpy sounddevice fastapi uvicorn websockets pydantic requests pyyaml packaging
+          .venv/bin/pyinstaller local-transcription-cloud.spec
+
+      - name: Package
+        run: |
+          cd dist/local-transcription-backend && zip -r ../../sidecar-macos-aarch64-cloud.zip .
+
+      - name: Upload to release
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          which jq || brew install jq
+          REPO_API="${GITHUB_SERVER_URL}/api/v1/repos/${GITHUB_REPOSITORY}"
+          TAG="${RELEASE_TAG}"
+
+          for i in $(seq 1 30); do
+            RELEASE_ID=$(curl -s -H "Authorization: token ${BUILD_TOKEN}" \
+              "${REPO_API}/releases/tags/${TAG}" | jq -r '.id // empty')
+            if [ -n "${RELEASE_ID}" ] && [ "${RELEASE_ID}" != "null" ]; then
+              echo "Found release ${TAG} (ID: ${RELEASE_ID})"
+              break
+            fi
+            echo "Attempt ${i}/30: waiting for release..."
+            sleep 10
+          done
+
+          if [ -z "${RELEASE_ID}" ] || [ "${RELEASE_ID}" = "null" ]; then
+            echo "ERROR: Release not found"; exit 1
+          fi
+
+          for file in sidecar-*-cloud.zip; do
+            filename=$(basename "$file")
+            ASSET_ID=$(curl -s -H "Authorization: token ${BUILD_TOKEN}" \
+              "${REPO_API}/releases/${RELEASE_ID}/assets" | jq -r ".[] | select(.name == \"${filename}\") | .id // empty")
+            [ -n "${ASSET_ID}" ] && curl -s -X DELETE -H "Authorization: token ${BUILD_TOKEN}" "${REPO_API}/releases/${RELEASE_ID}/assets/${ASSET_ID}"
+            curl -s -o /dev/null -w "Upload ${filename}: HTTP %{http_code}\n" -X POST \
+              -H "Authorization: token ${BUILD_TOKEN}" -H "Content-Type: application/octet-stream" \
+              -T "$file" "${REPO_API}/releases/${RELEASE_ID}/assets?name=${filename}"
+          done

.gitea/workflows/build-sidecar-linux.yml

@@ -0,0 +1,100 @@
+name: Build Sidecar (Linux)
+
+on:
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Sidecar release tag to build (e.g. sidecar-v1.0.3)'
+        required: true
+
+jobs:
+  build-sidecar-linux:
+    name: Build Sidecar (Linux)
+    runs-on: ubuntu-latest
+    env:
+      PYTHON_VERSION: "3.11"
+      RELEASE_TAG: "${{ inputs.tag }}"
+    steps:
+      - name: Show tag
+        run: |
+          echo "Building for tag: ${RELEASE_TAG}"
+
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
+
+      - name: Install uv
+        run: |
+          if command -v uv &> /dev/null; then
+            echo "uv already installed: $(uv --version)"
+          else
+            curl -LsSf https://astral.sh/uv/install.sh | sh
+            echo "$HOME/.local/bin" >> $GITHUB_PATH
+          fi
+
+      - name: Set up Python
+        run: uv python install ${{ env.PYTHON_VERSION }}
+
+      - name: Install system dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y portaudio19-dev
+
+      - name: Build sidecar (CPU)
+        env:
+          UV_NO_SOURCES: "1"
+        run: |
+          uv sync
+          .venv/bin/pyinstaller local-transcription-headless.spec
+
+      - name: Package sidecar (CPU)
+        run: |
+          cd dist/local-transcription-backend && zip -9 -r ../../sidecar-linux-x86_64-cpu.zip .
+
+      - name: Upload to sidecar release
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          sudo apt-get install -y jq
+          REPO_API="${GITHUB_SERVER_URL}/api/v1/repos/${GITHUB_REPOSITORY}"
+          TAG="${RELEASE_TAG}"
+
+          echo "Waiting for sidecar release ${TAG} to be available..."
+          for i in $(seq 1 30); do
+            RELEASE_JSON=$(curl -s -H "Authorization: token ${BUILD_TOKEN}" \
+              "${REPO_API}/releases/tags/${TAG}")
+            RELEASE_ID=$(echo "$RELEASE_JSON" | jq -r '.id // empty')
+
+            if [ -n "${RELEASE_ID}" ] && [ "${RELEASE_ID}" != "null" ]; then
+              echo "Found sidecar release: ${TAG} (ID: ${RELEASE_ID})"
+              break
+            fi
+
+            echo "Attempt ${i}/30: Release not ready yet, retrying in 10s..."
+            sleep 10
+          done
+
+          if [ -z "${RELEASE_ID}" ] || [ "${RELEASE_ID}" = "null" ]; then
+            echo "ERROR: Failed to find sidecar release for tag ${TAG} after 30 attempts."
+            exit 1
+          fi
+
+          for file in sidecar-*.zip; do
+            filename=$(basename "$file")
+            encoded_name=$(echo "$filename" | sed 's/ /%20/g')
+            echo "Uploading ${filename} ($(du -h "$file" | cut -f1))..."
+
+            ASSET_ID=$(curl -s -H "Authorization: token ${BUILD_TOKEN}" \
+              "${REPO_API}/releases/${RELEASE_ID}/assets" | jq -r ".[] | select(.name == \"${filename}\") | .id // empty")
+            if [ -n "${ASSET_ID}" ]; then
+              curl -s -X DELETE -H "Authorization: token ${BUILD_TOKEN}" \
+                "${REPO_API}/releases/${RELEASE_ID}/assets/${ASSET_ID}"
+            fi
+
+            HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" -X POST \
+              -H "Authorization: token ${BUILD_TOKEN}" \
+              -H "Content-Type: application/octet-stream" \
+              -T "$file" \
+              "${REPO_API}/releases/${RELEASE_ID}/assets?name=${encoded_name}")
+            echo "Upload response: HTTP ${HTTP_CODE}"
+          done

.gitea/workflows/build-sidecar-macos.yml

@@ -0,0 +1,101 @@
+name: Build Sidecar (macOS)
+
+on:
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Sidecar release tag to build (e.g. sidecar-v1.0.3)'
+        required: true
+
+jobs:
+  build-sidecar-macos:
+    name: Build Sidecar (macOS)
+    runs-on: macos-latest
+    env:
+      PYTHON_VERSION: "3.11"
+      RELEASE_TAG: "${{ inputs.tag }}"
+    steps:
+      - name: Show tag
+        run: |
+          echo "Building for tag: ${RELEASE_TAG}"
+
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
+
+      - name: Install uv
+        run: |
+          if command -v uv &> /dev/null; then
+            echo "uv already installed: $(uv --version)"
+          else
+            curl -LsSf https://astral.sh/uv/install.sh | sh
+            echo "$HOME/.local/bin" >> $GITHUB_PATH
+          fi
+
+      - name: Set up Python
+        run: uv python install ${{ env.PYTHON_VERSION }}
+
+      - name: Install system dependencies
+        run: brew install portaudio
+
+      - name: Build sidecar (CPU)
+        env:
+          UV_NO_SOURCES: "1"
+        run: |
+          # UV_NO_SOURCES bypasses pyproject.toml's [tool.uv.sources] which forces
+          # torch from the CUDA index (no macOS ARM wheels there).
+          # Default PyPI torch includes MPS (Apple Silicon GPU) support.
+          uv sync
+          .venv/bin/pyinstaller local-transcription-headless.spec
+
+      - name: Package sidecar (CPU)
+        run: |
+          cd dist/local-transcription-backend && zip -r ../../sidecar-macos-aarch64-cpu.zip .
+
+      - name: Upload to sidecar release
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          which jq || brew install jq
+          REPO_API="${GITHUB_SERVER_URL}/api/v1/repos/${GITHUB_REPOSITORY}"
+          TAG="${RELEASE_TAG}"
+
+          echo "Waiting for sidecar release ${TAG} to be available..."
+          for i in $(seq 1 30); do
+            RELEASE_JSON=$(curl -s -H "Authorization: token ${BUILD_TOKEN}" \
+              "${REPO_API}/releases/tags/${TAG}")
+            RELEASE_ID=$(echo "$RELEASE_JSON" | jq -r '.id // empty')
+
+            if [ -n "${RELEASE_ID}" ] && [ "${RELEASE_ID}" != "null" ]; then
+              echo "Found sidecar release: ${TAG} (ID: ${RELEASE_ID})"
+              break
+            fi
+
+            echo "Attempt ${i}/30: Release not ready yet, retrying in 10s..."
+            sleep 10
+          done
+
+          if [ -z "${RELEASE_ID}" ] || [ "${RELEASE_ID}" = "null" ]; then
+            echo "ERROR: Failed to find sidecar release for tag ${TAG} after 30 attempts."
+            exit 1
+          fi
+
+          for file in sidecar-*.zip; do
+            filename=$(basename "$file")
+            encoded_name=$(echo "$filename" | sed 's/ /%20/g')
+            echo "Uploading ${filename} ($(du -h "$file" | cut -f1))..."
+
+            ASSET_ID=$(curl -s -H "Authorization: token ${BUILD_TOKEN}" \
+              "${REPO_API}/releases/${RELEASE_ID}/assets" | jq -r ".[] | select(.name == \"${filename}\") | .id // empty")
+            if [ -n "${ASSET_ID}" ]; then
+              curl -s -X DELETE -H "Authorization: token ${BUILD_TOKEN}" \
+                "${REPO_API}/releases/${RELEASE_ID}/assets/${ASSET_ID}"
+            fi
+
+            HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" -X POST \
+              -H "Authorization: token ${BUILD_TOKEN}" \
+              -H "Content-Type: application/octet-stream" \
+              -T "$file" \
+              "${REPO_API}/releases/${RELEASE_ID}/assets?name=${encoded_name}")
+            echo "Upload response: HTTP ${HTTP_CODE}"
+          done

.gitea/workflows/build-sidecar-windows.yml

@@ -0,0 +1,134 @@
+name: Build Sidecar (Windows)
+
+on:
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Sidecar release tag to build (e.g. sidecar-v1.0.3)'
+        required: true
+
+jobs:
+  build-sidecar-windows:
+    name: Build Sidecar (Windows)
+    runs-on: windows-latest
+    env:
+      PYTHON_VERSION: "3.11"
+      RELEASE_TAG: "${{ inputs.tag }}"
+    steps:
+      - name: Show tag
+        shell: powershell
+        run: |
+          Write-Host "Building for tag: $env:RELEASE_TAG"
+
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
+
+      - name: Install uv
+        shell: powershell
+        run: |
+          if (Get-Command uv -ErrorAction SilentlyContinue) {
+            Write-Host "uv already installed: $(uv --version)"
+          } else {
+            irm https://astral.sh/uv/install.ps1 | iex
+            $uvPaths = @(
+              "$env:USERPROFILE\.local\bin",
+              "$env:USERPROFILE\.cargo\bin",
+              "$env:LOCALAPPDATA\uv\bin"
+            )
+            foreach ($p in $uvPaths) {
+              if (Test-Path $p) {
+                echo $p | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
+              }
+            }
+          }
+
+      - name: Set up Python
+        shell: powershell
+        run: uv python install ${{ env.PYTHON_VERSION }}
+
+      - name: Install 7-Zip
+        shell: powershell
+        run: |
+          if (-not (Get-Command 7z -ErrorAction SilentlyContinue)) {
+            choco install 7zip -y
+          }
+
+      - name: Build sidecar (CPU)
+        shell: powershell
+        env:
+          UV_NO_SOURCES: "1"
+        run: |
+          uv sync
+          .venv\Scripts\pyinstaller.exe local-transcription-headless.spec
+
+      - name: Package sidecar (CPU)
+        shell: powershell
+        run: |
+          7z a -tzip -mx=9 sidecar-windows-x86_64-cpu.zip .\dist\local-transcription-backend\*
+
+      - name: Upload to sidecar release
+        shell: powershell
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          $REPO_API = "${{ github.server_url }}/api/v1/repos/${{ github.repository }}"
+          $Headers = @{ "Authorization" = "token $env:BUILD_TOKEN" }
+          $TAG = $env:RELEASE_TAG
+          Write-Host "Release tag: $TAG"
+
+          if (-not $TAG) {
+            Write-Host "ERROR: RELEASE_TAG is empty"
+            exit 1
+          }
+
+          Write-Host "Waiting for sidecar release $TAG to be available..."
+          $RELEASE_ID = $null
+
+          for ($i = 1; $i -le 30; $i++) {
+            try {
+              $release = Invoke-RestMethod -Uri "$REPO_API/releases/tags/$TAG" -Headers $Headers -ErrorAction Stop
+              $RELEASE_ID = $release.id
+
+              if ($RELEASE_ID) {
+                Write-Host "Found sidecar release: $TAG (ID: $RELEASE_ID)"
+                break
+              }
+            } catch {}
+
+            Write-Host "Attempt ${i}/30: Release not ready yet, retrying in 10s..."
+            Start-Sleep -Seconds 10
+          }
+
+          if (-not $RELEASE_ID) {
+            Write-Host "ERROR: Failed to find sidecar release for tag $TAG after 30 attempts."
+            exit 1
+          }
+
+          Get-ChildItem -Path . -Filter "sidecar-*.zip" | ForEach-Object {
+            $filename = $_.Name
+            $encodedName = [System.Uri]::EscapeDataString($filename)
+            $size = [math]::Round($_.Length / 1MB, 1)
+            Write-Host "Uploading $filename ($size MB)..."
+
+            try {
+              $assets = Invoke-RestMethod -Uri "$REPO_API/releases/$RELEASE_ID/assets" -Headers $Headers
+              $existing = $assets | Where-Object { $_.name -eq $filename }
+              if ($existing) {
+                Invoke-RestMethod -Uri "$REPO_API/releases/$RELEASE_ID/assets/$($existing.id)" -Method Delete -Headers $Headers
+              }
+            } catch {}
+
+            $uploadUrl = "$REPO_API/releases/$RELEASE_ID/assets?name=$encodedName"
+            $result = curl.exe --fail --silent --show-error `
+              -X POST `
+              -H "Authorization: token $env:BUILD_TOKEN" `
+              -H "Content-Type: application/octet-stream" `
+              -T "$($_.FullName)" `
+              "$uploadUrl" 2>&1
+            if ($LASTEXITCODE -eq 0) {
+              Write-Host "Upload successful: $filename"
+            } else {
+              Write-Host "WARNING: Upload failed for ${filename}: $result"
+            }
+          }

.gitea/workflows/release.yml

@@ -0,0 +1,122 @@
+name: Release
+
+on:
+  workflow_dispatch:
+
+jobs:
+  test:
+    name: Run Tests
+    if: "!contains(github.event.head_commit.message, '[skip ci]')"
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: actions/setup-node@v4
+        with:
+          node-version: 20
+
+      - name: Install npm deps
+        run: npm ci
+
+      - name: Frontend tests
+        run: npx vitest run
+
+      - name: Install uv
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          echo "$HOME/.local/bin" >> $GITHUB_PATH
+
+      - name: Python tests
+        run: |
+          uv venv .testvenv
+          VIRTUAL_ENV=.testvenv uv pip install pytest httpx pytest-asyncio anyio fastapi pydantic pyyaml uvicorn requests
+          .testvenv/bin/python -m pytest backend/tests/ client/tests/ -v --tb=short
+
+  bump-version:
+    name: Bump version and tag
+    needs: test
+    runs-on: ubuntu-latest
+    outputs:
+      new_version: ${{ steps.bump.outputs.new_version }}
+      tag: ${{ steps.bump.outputs.tag }}
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Configure git
+        run: |
+          git config user.name "Gitea Actions"
+          git config user.email "actions@gitea.local"
+
+      - name: Bump patch version
+        id: bump
+        run: |
+          CURRENT=$(grep '"version"' package.json | head -1 | sed 's/.*"version": *"\([^"]*\)".*/\1/')
+          echo "Current version: ${CURRENT}"
+
+          MAJOR=$(echo "${CURRENT}" | cut -d. -f1)
+          MINOR=$(echo "${CURRENT}" | cut -d. -f2)
+          PATCH=$(echo "${CURRENT}" | cut -d. -f3)
+          NEW_PATCH=$((PATCH + 1))
+          NEW_VERSION="${MAJOR}.${MINOR}.${NEW_PATCH}"
+          echo "New version: ${NEW_VERSION}"
+
+          sed -i "s/\"version\": \"${CURRENT}\"/\"version\": \"${NEW_VERSION}\"/" package.json
+          sed -i "s/\"version\": \"${CURRENT}\"/\"version\": \"${NEW_VERSION}\"/" src-tauri/tauri.conf.json
+          sed -i "s/^version = \"${CURRENT}\"/version = \"${NEW_VERSION}\"/" src-tauri/Cargo.toml
+          sed -i "s/__version__ = \"${CURRENT}\"/__version__ = \"${NEW_VERSION}\"/" version.py
+          sed -i "s/__version_info__ = .*/__version_info__ = (${MAJOR}, ${MINOR}, ${NEW_PATCH})/" version.py
+
+          echo "new_version=${NEW_VERSION}" >> $GITHUB_OUTPUT
+          echo "tag=v${NEW_VERSION}" >> $GITHUB_OUTPUT
+
+      - name: Commit and tag
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          NEW_VERSION="${{ steps.bump.outputs.new_version }}"
+          git add package.json src-tauri/tauri.conf.json src-tauri/Cargo.toml version.py
+          git commit -m "chore: bump version to ${NEW_VERSION} [skip ci]"
+          git tag "v${NEW_VERSION}"
+
+          REMOTE_URL=$(git remote get-url origin | sed "s|://|://gitea-actions:${BUILD_TOKEN}@|")
+          git pull --rebase "${REMOTE_URL}" main || true
+          git push "${REMOTE_URL}" HEAD:main
+          git push "${REMOTE_URL}" "v${NEW_VERSION}"
+
+      - name: Create Gitea release
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          REPO_API="${GITHUB_SERVER_URL}/api/v1/repos/${GITHUB_REPOSITORY}"
+          TAG="${{ steps.bump.outputs.tag }}"
+          RELEASE_NAME="Local Transcription ${TAG}"
+
+          curl -s -X POST \
+            -H "Authorization: token ${BUILD_TOKEN}" \
+            -H "Content-Type: application/json" \
+            -d "{\"tag_name\": \"${TAG}\", \"name\": \"${RELEASE_NAME}\", \"body\": \"Automated build.\", \"draft\": false, \"prerelease\": false}" \
+            "${REPO_API}/releases"
+          echo "Created release: ${RELEASE_NAME}"
+
+      - name: Trigger per-OS app builds
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          REPO_API="${GITHUB_SERVER_URL}/api/v1/repos/${GITHUB_REPOSITORY}"
+          TAG="${{ steps.bump.outputs.tag }}"
+
+          for workflow in build-app-linux.yml build-app-windows.yml build-app-macos.yml; do
+            echo "Dispatching ${workflow} for ${TAG}..."
+            HTTP_CODE=$(curl -s -w "%{http_code}" -o /tmp/dispatch_resp.txt -X POST \
+              -H "Authorization: token ${BUILD_TOKEN}" \
+              -H "Content-Type: application/json" \
+              -d "{\"ref\": \"main\", \"inputs\": {\"tag\": \"${TAG}\"}}" \
+              "${REPO_API}/actions/workflows/${workflow}/dispatches")
+            echo "  -> HTTP ${HTTP_CODE}"
+            [ "$HTTP_CODE" != "204" ] && cat /tmp/dispatch_resp.txt && echo ""
+          done
+
+      # NOTE: Automatic cleanup disabled -- it races with async builds.
+      # Clean up old releases manually from the Gitea UI when needed.

.gitea/workflows/sidecar-release.yml

@@ -0,0 +1,132 @@
+name: Sidecar Release
+
+on:
+  workflow_dispatch:
+
+jobs:
+  test:
+    name: Run Tests
+    if: "!contains(github.event.head_commit.message, '[skip ci]')"
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          echo "$HOME/.local/bin" >> $GITHUB_PATH
+
+      - name: Python tests
+        run: |
+          uv venv .testvenv
+          VIRTUAL_ENV=.testvenv uv pip install pytest httpx pytest-asyncio anyio fastapi pydantic pyyaml uvicorn requests
+          .testvenv/bin/python -m pytest backend/tests/ client/tests/ -v --tb=short
+
+  bump-sidecar-version:
+    name: Bump sidecar version and tag
+    needs: test
+    if: "!contains(github.event.head_commit.message, '[skip ci]')"
+    runs-on: ubuntu-latest
+    outputs:
+      version: ${{ steps.bump.outputs.version }}
+      tag: ${{ steps.bump.outputs.tag }}
+      has_changes: ${{ steps.check_changes.outputs.has_changes }}
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 2
+
+      - name: Check for backend changes
+        id: check_changes
+        run: |
+          if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
+            echo "has_changes=true" >> $GITHUB_OUTPUT
+            exit 0
+          fi
+          CHANGED=$(git diff --name-only HEAD~1 HEAD -- client/ server/ backend/ pyproject.toml local-transcription-headless.spec 2>/dev/null || echo "")
+          if [ -n "$CHANGED" ]; then
+            echo "has_changes=true" >> $GITHUB_OUTPUT
+            echo "Backend changes detected: $CHANGED"
+          else
+            echo "has_changes=false" >> $GITHUB_OUTPUT
+            echo "No backend changes detected, skipping sidecar build"
+          fi
+
+      - name: Configure git
+        if: steps.check_changes.outputs.has_changes == 'true'
+        run: |
+          git config user.name "Gitea Actions"
+          git config user.email "actions@gitea.local"
+
+      - name: Bump sidecar patch version
+        if: steps.check_changes.outputs.has_changes == 'true'
+        id: bump
+        run: |
+          CURRENT=$(grep '^version = ' pyproject.toml | head -1 | sed 's/version = "\(.*\)"/\1/')
+          echo "Current sidecar version: ${CURRENT}"
+
+          MAJOR=$(echo "${CURRENT}" | cut -d. -f1)
+          MINOR=$(echo "${CURRENT}" | cut -d. -f2)
+          PATCH=$(echo "${CURRENT}" | cut -d. -f3)
+          NEW_PATCH=$((PATCH + 1))
+          NEW_VERSION="${MAJOR}.${MINOR}.${NEW_PATCH}"
+          echo "New sidecar version: ${NEW_VERSION}"
+
+          sed -i "s/^version = \"${CURRENT}\"/version = \"${NEW_VERSION}\"/" pyproject.toml
+
+          echo "version=${NEW_VERSION}" >> $GITHUB_OUTPUT
+          echo "tag=sidecar-v${NEW_VERSION}" >> $GITHUB_OUTPUT
+
+      - name: Commit and tag
+        if: steps.check_changes.outputs.has_changes == 'true'
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          NEW_VERSION="${{ steps.bump.outputs.version }}"
+          TAG="${{ steps.bump.outputs.tag }}"
+          git add pyproject.toml
+          git commit -m "chore: bump sidecar version to ${NEW_VERSION} [skip ci]"
+          git tag "${TAG}"
+
+          REMOTE_URL=$(git remote get-url origin | sed "s|://|://gitea-actions:${BUILD_TOKEN}@|")
+          git pull --rebase "${REMOTE_URL}" main || true
+          git push "${REMOTE_URL}" HEAD:main
+          git push "${REMOTE_URL}" "${TAG}"
+
+      - name: Create Gitea release
+        if: steps.check_changes.outputs.has_changes == 'true'
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          REPO_API="${GITHUB_SERVER_URL}/api/v1/repos/${GITHUB_REPOSITORY}"
+          TAG="${{ steps.bump.outputs.tag }}"
+          VERSION="${{ steps.bump.outputs.version }}"
+          RELEASE_NAME="Sidecar v${VERSION}"
+
+          curl -s -X POST \
+            -H "Authorization: token ${BUILD_TOKEN}" \
+            -H "Content-Type: application/json" \
+            -d "{\"tag_name\": \"${TAG}\", \"name\": \"${RELEASE_NAME}\", \"body\": \"Automated sidecar build.\", \"draft\": false, \"prerelease\": false}" \
+            "${REPO_API}/releases"
+          echo "Created release: ${RELEASE_NAME}"
+
+      - name: Trigger per-OS sidecar builds
+        if: steps.check_changes.outputs.has_changes == 'true'
+        env:
+          BUILD_TOKEN: ${{ secrets.BUILD_TOKEN }}
+        run: |
+          REPO_API="${GITHUB_SERVER_URL}/api/v1/repos/${GITHUB_REPOSITORY}"
+          TAG="${{ steps.bump.outputs.tag }}"
+
+          for workflow in build-sidecar-linux.yml build-sidecar-windows.yml build-sidecar-macos.yml build-sidecar-cloud.yml; do
+            echo "Dispatching ${workflow} for ${TAG}..."
+            HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" -X POST \
+              -H "Authorization: token ${BUILD_TOKEN}" \
+              -H "Content-Type: application/json" \
+              -d "{\"ref\": \"main\", \"inputs\": {\"tag\": \"${TAG}\"}}" \
+              "${REPO_API}/actions/workflows/${workflow}/dispatches")
+            echo "  -> HTTP ${HTTP_CODE}"
+          done
+
+      # NOTE: Automatic cleanup disabled -- it races with async builds.
+      # Clean up old releases manually from the Gitea UI when needed.

.gitea/workflows/test.yml

@@ -0,0 +1,66 @@
+name: Tests
+
+on:
+  push:
+    branches: [main]
+  pull_request:
+    branches: [main]
+  workflow_dispatch:
+
+jobs:
+  python-tests:
+    name: Python Backend Tests
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv
+        run: |
+          if command -v uv &> /dev/null; then
+            echo "uv already installed: $(uv --version)"
+          else
+            curl -LsSf https://astral.sh/uv/install.sh | sh
+            echo "$HOME/.local/bin" >> $GITHUB_PATH
+          fi
+
+      - name: Run pytest
+        run: |
+          uv venv .testvenv
+          VIRTUAL_ENV=.testvenv uv pip install pytest httpx pytest-asyncio anyio fastapi pydantic pyyaml uvicorn requests
+          .testvenv/bin/python -m pytest backend/tests/ client/tests/ -v --tb=short
+
+  frontend-tests:
+    name: Frontend Tests
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: actions/setup-node@v4
+        with:
+          node-version: 20
+
+      - name: Install dependencies
+        run: npm ci
+
+      - name: Run Vitest
+        run: npx vitest run
+
+  rust-tests:
+    name: Rust Sidecar Tests
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install Rust
+        run: |
+          curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y --default-toolchain stable
+          echo "$HOME/.cargo/bin" >> $GITHUB_PATH
+
+      - name: Install Tauri system dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y libgtk-3-dev libwebkit2gtk-4.1-dev libappindicator3-dev librsvg2-dev patchelf
+
+      - name: Run cargo test
+        working-directory: src-tauri
+        run: cargo test

.gitignore

@@ -10,8 +10,8 @@ dist/
 downloads/
 eggs/
 .eggs/
-lib/
-lib64/
+/lib/
+/lib64/
 parts/
 sdist/
 var/
@@ -54,3 +54,15 @@ models/
 
 # PyInstaller
 *.spec.lock
+
+# Node.js
+node_modules/
+
+# Vite / Svelte build output
+dist/
+
+# Tauri
+src-tauri/target/
+
+# Windows NTFS alternate data streams
+*:Zone.Identifier

CLAUDE.md

@@ -4,52 +4,114 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
 
 ## Project Overview
 
-Local Transcription is a desktop application for real-time speech-to-text transcription designed for streamers. It uses Whisper models (via faster-whisper) to transcribe audio locally with optional multi-user server synchronization.
+Local Transcription is a cross-platform desktop application for real-time speech-to-text transcription designed for streamers. It supports local Whisper models and cloud-based Deepgram transcription, with OBS browser source integration and optional multi-user sync.
+
+**Architecture:** Two-process model — a Tauri v2 shell (Svelte 5 frontend) communicates with a headless Python backend (sidecar) via REST API and WebSocket.
 
 **Key Features:**
-- Standalone desktop GUI (PySide6/Qt)
-- Local transcription with CPU/GPU support
-- Built-in web server for OBS browser source integration
-- Optional Node.js-based multi-user server for syncing transcriptions across users
-- Noise suppression and Voice Activity Detection (VAD)
-- Cross-platform builds (Linux/Windows) with PyInstaller
+- Cross-platform desktop app (Windows, macOS, Linux) via Tauri v2 + Svelte 5
+- Headless Python backend with FastAPI control API
+- Dual transcription modes: local Whisper or cloud Deepgram (managed/BYOK)
+- Built-in web server for OBS browser source at `http://localhost:8080`
+- Optional multi-user sync via Node.js server
+- CUDA, MPS (Apple Silicon), and CPU support
+- Auto-updates, custom fonts, configurable colors
+
+> **Legacy GUI:** The original PySide6/Qt GUI (`main.py`, `gui/`) still works during the transition. New features should target the Tauri frontend and headless backend.
 
 ## Project Structure
 
 ```
 local-transcription/
-├── client/                   # Core transcription logic
-│   ├── audio_capture.py      # Audio input and buffering
-│   ├── transcription_engine.py # Whisper model integration
-│   ├── noise_suppression.py  # VAD and noise reduction
-│   ├── device_utils.py       # CPU/GPU device management
-│   ├── config.py             # Configuration management
-│   └── server_sync.py        # Multi-user server sync client
-├── gui/                      # Desktop application UI
-│   ├── main_window_qt.py     # Main application window (PySide6)
-│   ├── settings_dialog_qt.py # Settings dialog (PySide6)
-│   └── transcription_display_qt.py # Display widget
-├── server/                   # Web display servers
-│   ├── web_display.py        # FastAPI server for OBS browser source (local)
-│   └── nodejs/               # Optional multi-user Node.js server
-│       ├── server.js         # Multi-user sync server with WebSocket
-│       ├── package.json      # Node.js dependencies
-│       └── README.md         # Server deployment documentation
-├── config/                   # Example configuration files
-│   └── default_config.yaml   # Default settings template
-├── main.py                   # GUI application entry point
-├── main_cli.py              # CLI version for testing
-└── pyproject.toml           # Dependencies and build config
+├── src/                             # Svelte 5 frontend (Tauri UI)
+│   ├── App.svelte                   # Main app shell
+│   ├── app.css                      # Global dark theme styles
+│   ├── main.ts                      # Svelte mount point
+│   ├── lib/components/              # UI components
+│   │   ├── Header.svelte            # Title bar + settings button
+│   │   ├── StatusBar.svelte         # State indicator, device, user info
+│   │   ├── Controls.svelte          # Start/Stop, Clear, Save buttons
+│   │   ├── TranscriptionDisplay.svelte  # Scrolling transcript view
+│   │   └── Settings.svelte          # Full settings modal (all sections)
+│   └── lib/stores/                  # Svelte 5 reactive stores ($state/$derived)
+│       ├── backend.ts               # WebSocket + REST API client
+│       ├── config.ts                # App configuration fetch/update
+│       └── transcriptions.ts        # Transcript data management
+├── src-tauri/                       # Tauri v2 Rust shell
+│   ├── src/lib.rs                   # Plugin registration (shell, dialog, process)
+│   ├── src/main.rs                  # Entry point
+│   ├── tauri.conf.json              # Window, bundle, plugin config
+│   └── Cargo.toml                   # Rust dependencies
+├── backend/                         # Headless Python backend (the sidecar)
+│   ├── app_controller.py            # Core orchestration (engine, sync, config)
+│   ├── api_server.py                # FastAPI REST endpoints + /ws/control
+│   └── main_headless.py             # Headless entry point (prints JSON to stdout)
+├── client/                          # Core transcription modules (used by backend)
+│   ├── audio_capture.py             # Audio input handling
+│   ├── transcription_engine_realtime.py  # RealtimeSTT / Whisper engine
+│   ├── deepgram_transcription.py    # Deepgram WebSocket cloud transcription
+│   ├── noise_suppression.py         # VAD and noise reduction
+│   ├── device_utils.py              # CPU/GPU/MPS detection
+│   ├── config.py                    # YAML config management (~/.local-transcription/)
+│   ├── server_sync.py               # Multi-user server sync client
+│   ├── instance_lock.py             # Single-instance PID lock
+│   └── update_checker.py            # Gitea release update checker
+├── gui/                             # Legacy PySide6/Qt GUI (still functional)
+│   ├── main_window_qt.py            # Main window (orchestration lives here in legacy)
+│   ├── settings_dialog_qt.py        # Settings dialog
+│   └── transcription_display_qt.py  # Display widget
+├── server/
+│   ├── web_display.py               # FastAPI OBS display server (WebSocket + HTML)
+│   └── nodejs/                      # Optional multi-user sync server
+├── .gitea/workflows/                # CI/CD
+│   ├── release.yml                  # Coordinator: version bump, tag, release creation
+│   ├── build-app-linux.yml          # Linux Tauri app build (triggered by v* tag)
+│   ├── build-app-windows.yml        # Windows Tauri app build (triggered by v* tag)
+│   ├── build-app-macos.yml          # macOS Tauri app build (triggered by v* tag)
+│   ├── sidecar-release.yml          # Sidecar coordinator: version bump, tag, release
+│   ├── build-sidecar-linux.yml      # Linux sidecar build (triggered by sidecar-v* tag)
+│   ├── build-sidecar-windows.yml    # Windows sidecar build (triggered by sidecar-v* tag)
+│   └── build-sidecar-macos.yml      # macOS sidecar build (triggered by sidecar-v* tag)
+├── config/default_config.yaml       # Default settings template
+├── main.py                          # Legacy PySide6 GUI entry point
+├── main_cli.py                      # CLI version for testing
+├── version.py                       # Version string (__version__)
+├── local-transcription.spec         # PyInstaller config (legacy, includes PySide6)
+├── local-transcription-headless.spec # PyInstaller config (headless sidecar, no Qt)
+├── pyproject.toml                   # Python deps (uv, CUDA PyTorch index)
+├── package.json                     # Node/Tauri deps
+└── vite.config.ts                   # Vite build config ($lib alias)
 ```
 
 ## Development Commands
 
-### Installation and Setup
+### Frontend (Tauri + Svelte)
 ```bash
-# Install dependencies (creates .venv automatically)
+# Install npm dependencies
+npm install
+
+# Run Tauri in development mode (hot-reload)
+npm run tauri dev
+
+# Build frontend only (for testing)
+npx vite build
+
+# Type-check Svelte
+npx svelte-check
+
+# Check Rust compiles
+cd src-tauri && cargo check
+```
+
+### Backend (Python)
+```bash
+# Install Python dependencies
 uv sync
 
-# Run the GUI application
+# Run the headless backend standalone (for development)
+uv run python -m backend.main_headless --port 8080
+
+# Run the legacy PySide6 GUI
 uv run python main.py
 
 # Run CLI version (headless, for testing)
@@ -57,257 +119,163 @@ uv run python main_cli.py
 
 # List available audio devices
 uv run python main_cli.py --list-devices
-
-# Install with CUDA support (if needed)
-uv pip install torch --index-url https://download.pytorch.org/whl/cu121
 ```
 
-### Building Executables
+### Building
 ```bash
-# Linux (includes CUDA support - works on both GPU and CPU systems)
-./build.sh
+# Build Tauri app (produces platform installer)
+npm run tauri build
 
-# Windows (includes CUDA support - works on both GPU and CPU systems)
-build.bat
+# Build headless Python sidecar (no PySide6)
+uv run pyinstaller local-transcription-headless.spec
+# Output: dist/local-transcription-backend/
 
-# Manual build with PyInstaller
-uv sync                          # Install dependencies (includes CUDA PyTorch)
-uv pip uninstall -q enum34       # Remove incompatible enum34 package
+# Build legacy PySide6 app
 uv run pyinstaller local-transcription.spec
+# Or use: ./build.sh (Linux) / build.bat (Windows)
 ```
 
-**Important:** All builds include CUDA support via `pyproject.toml` configuration. CUDA builds can be created on systems without NVIDIA GPUs. The PyTorch CUDA runtime is bundled, and the app automatically falls back to CPU if no GPU is available.
-
 ### Testing
 ```bash
-# Run component tests
 uv run python test_components.py
-
-# Check CUDA availability
 uv run python check_cuda.py
-
-# Test web server manually
-uv run python -m uvicorn server.web_display:app --reload
 ```
 
-## Architecture
+## Architecture Details
 
-### Audio Processing Pipeline
+### Communication: Tauri <-> Python Backend
 
-1. **Audio Capture** ([client/audio_capture.py](client/audio_capture.py))
-   - Captures audio from microphone/system using sounddevice
-   - Handles automatic sample rate detection and resampling
-   - Uses chunking with overlap for better transcription quality
-   - Default: 3-second chunks with 0.5s overlap
+The Svelte frontend connects to the Python backend via two channels:
 
-2. **Noise Suppression** ([client/noise_suppression.py](client/noise_suppression.py))
-   - Applies noisereduce for background noise reduction
-   - Voice Activity Detection (VAD) using webrtcvad
-   - Skips silent segments to improve performance
+**REST API** (on port 8081 by default):
+- `GET /api/status` — app state, device info, version
+- `POST /api/start` / `POST /api/stop` — transcription control
+- `GET /api/config` / `PUT /api/config` — read/write settings (dot-notation keys)
+- `GET /api/audio-devices` / `GET /api/compute-devices` — device enumeration
+- `POST /api/reload-engine` — reload with new model/device
+- `GET /api/transcriptions` / `POST /api/clear` — transcript management
+- `POST /api/save-file` — write text to a file path
+- `GET /api/check-update` / `POST /api/skip-version` — update management
+- `POST /api/login` / `POST /api/register` / `GET /api/balance` — managed mode proxy
 
-3. **Transcription** ([client/transcription_engine.py](client/transcription_engine.py))
-   - Uses faster-whisper for efficient inference
-   - Supports CPU, CUDA, and Apple MPS (Mac)
-   - Models: tiny, base, small, medium, large
-   - Thread-safe model loading with locks
+**WebSocket** `/ws/control`:
+- Pushes real-time events: `state_changed`, `transcription`, `preview`, `error`, `credits_low`
+- Client sends keepalive pings
 
-4. **Display** ([gui/main_window_qt.py](gui/main_window_qt.py))
-   - PySide6/Qt-based desktop GUI
-   - Real-time transcription display with scrolling
-   - Settings panel with live updates (no restart needed)
+The OBS display server runs separately on port 8080 (`GET /` for HTML, `WebSocket /ws` for transcriptions).
 
-### Web Server Architecture
+### Backend Process Lifecycle
 
-**Local Web Server** ([server/web_display.py](server/web_display.py))
-- Always runs when GUI starts (port 8080 by default)
-- FastAPI with WebSocket for real-time updates
-- Used for OBS browser source integration
-- Single-user (displays only local transcriptions)
+1. `main_headless.py` starts, acquires instance lock, creates `AppController`
+2. `AppController.initialize()` starts the OBS web server (port 8080) and engine init thread
+3. `APIServer` wraps the controller with FastAPI routes, runs on port 8081
+4. Backend prints `{"event": "ready", "port": 8080}` to stdout for Tauri to discover
+5. On shutdown: engine stopped, web server stopped, lock released
 
-**Multi-User Server** (Optional - for syncing across multiple users)
+### Headless Backend vs Legacy GUI
 
-**Node.js WebSocket Server** ([server/nodejs/](server/nodejs/)) - **RECOMMENDED**
-- Real-time WebSocket support (< 100ms latency)
-- Handles 100+ concurrent users
-- Easy deployment to VPS/cloud hosting (Railway, Heroku, DigitalOcean, or any VPS)
-- Configurable display options via URL parameters:
-  - `timestamps=true/false` - Show/hide timestamps
-  - `maxlines=50` - Maximum visible lines (prevents scroll bars in OBS)
-  - `fontsize=16` - Font size in pixels
-  - `fontfamily=Arial` - Font family
-  - `fade=10` - Seconds before text fades (0 = never)
+The `AppController` class (`backend/app_controller.py`) extracts all orchestration logic from `gui/main_window_qt.py` into a Qt-free class. The mapping:
 
-See [server/nodejs/README.md](server/nodejs/README.md) for deployment instructions
+| Legacy (MainWindow) | Headless (AppController) |
+|---------------------|--------------------------|
+| `_initialize_components()` | `_initialize_engine()` |
+| `_start_transcription()` | `start_transcription()` |
+| `_stop_transcription()` | `stop_transcription()` |
+| `_on_settings_saved()` | `apply_settings()` |
+| `_reload_engine()` | `reload_engine()` |
+| `_start_web_server_if_enabled()` | `_start_web_server()` |
+| `_start_server_sync()` | `_start_server_sync()` |
+| Qt signals | Callbacks (`on_state_changed`, `on_transcription`, etc.) |
 
-### Configuration System
+### Threading Model (Headless)
 
-- Config stored at `~/.local-transcription/config.yaml`
-- Managed by [client/config.py](client/config.py)
-- Settings apply immediately without restart (except model changes)
-- YAML format with nested keys (e.g., `transcription.model`)
+- Main thread: Uvicorn (FastAPI) event loop
+- Engine init thread: Downloads models, initializes VAD
+- Web server thread: Separate asyncio loop for OBS display
+- Audio capture: Runs in engine callback threads
+- All results flow through `AppController` callbacks -> `APIServer` WebSocket broadcast
 
-### Device Management
+### Svelte Frontend
 
-- [client/device_utils.py](client/device_utils.py) handles CPU/GPU detection
-- Auto-detects CUDA, MPS (Mac), or falls back to CPU
-- Compute types: float32 (best quality), float16 (GPU), int8 (fastest)
-- Thread-safe device selection
+Uses Svelte 5 runes throughout (`$state`, `$derived`, `$effect`, `$props`). No Svelte 4 patterns.
 
-## Key Implementation Details
+**Stores** (`src/lib/stores/`):
+- `backend.ts` — WebSocket connection + REST helpers (`apiGet`, `apiPost`, `apiPut`), auto-reconnect
+- `config.ts` — fetches/updates config from backend API
+- `transcriptions.ts` — manages transcript list, listens for `CustomEvent`s from backend store
 
-### PyInstaller Build Configuration
+**Key patterns:**
+- Backend store dispatches `CustomEvent`s on `window` for cross-store communication
+- Settings component collects all changed values into a `Record<string, any>` with dot-notation keys, sends via `PUT /api/config`
+- Controls use Tauri dialog plugin for native file save, falls back to blob download
 
-- [local-transcription.spec](local-transcription.spec) controls build
-- UPX compression enabled for smaller executables
-- Hidden imports required for PySide6, faster-whisper, torch
-- Console mode enabled by default (set `console=False` to hide)
+## CI/CD
 
-### Threading Model
+Eight Gitea Actions workflows in `.gitea/workflows/`, split into coordinators and per-OS builders:
 
-- Main thread: Qt GUI event loop
-- Audio thread: Captures and processes audio chunks
-- Web server thread: Runs FastAPI server
-- Transcription: Runs in callback thread from audio capture
-- All transcription results communicated via Qt signals
+**App release (Tauri):**
+- **`release.yml`**: Coordinator. Triggers on push to `main`. Auto-bumps version in package.json/tauri.conf.json/Cargo.toml/version.py, commits, tags `v{VERSION}`, creates Gitea release.
+- **`build-app-linux.yml`**: Triggers on `v*` tag push or `workflow_dispatch`. Builds Tauri app, uploads `.deb`/`.rpm`/`.AppImage`.
+- **`build-app-windows.yml`**: Triggers on `v*` tag push or `workflow_dispatch`. Builds Tauri app, uploads `.msi`/`*-setup.exe`.
+- **`build-app-macos.yml`**: Triggers on `v*` tag push or `workflow_dispatch`. Builds Tauri app, uploads `.dmg`.
 
-### Server Sync (Optional Multi-User Feature)
+**Sidecar release (Python backend):**
+- **`sidecar-release.yml`**: Coordinator. Triggers on push to `main` with changes in `client/`, `server/`, `backend/`, `pyproject.toml`, or `local-transcription-headless.spec`. Bumps version in pyproject.toml/version.py, tags `sidecar-v{VERSION}`, creates Gitea release.
+- **`build-sidecar-linux.yml`**: Triggers on `sidecar-v*` tag push or `workflow_dispatch`. Builds CUDA + CPU sidecars via PyInstaller.
+- **`build-sidecar-windows.yml`**: Triggers on `sidecar-v*` tag push or `workflow_dispatch`. Builds CUDA + CPU sidecars via PyInstaller.
+- **`build-sidecar-macos.yml`**: Triggers on `sidecar-v*` tag push or `workflow_dispatch`. Builds CPU-only sidecar via PyInstaller.
 
-- [client/server_sync.py](client/server_sync.py) handles server communication
-- Toggle in Settings: "Enable Server Sync"
-- Sends transcriptions to Node.js server via HTTP POST
-- Real-time updates via WebSocket to display page
-- Per-speaker font support (Web-Safe, Google Fonts, Custom uploads)
-- Falls back gracefully if server unavailable
+All per-OS build workflows can be re-run independently via `workflow_dispatch` with an optional `tag` input. All require a `BUILD_TOKEN` secret (Gitea API token with release write access).
 
 ## Common Patterns
 
 ### Adding a New Setting
 
-1. Add to [config/default_config.yaml](config/default_config.yaml)
-2. Update [client/config.py](client/config.py) if validation needed
-3. Add UI control in [gui/settings_dialog_qt.py](gui/settings_dialog_qt.py)
-4. Apply setting in relevant component (no restart if possible)
-5. Emit signal to update display if needed
+1. Add default to [config/default_config.yaml](config/default_config.yaml)
+2. Add UI control in [src/lib/components/Settings.svelte](src/lib/components/Settings.svelte)
+3. Ensure the setting is included in the save handler's config update
+4. Apply in `AppController.apply_settings()` or the relevant component
+5. For legacy GUI: also update [gui/settings_dialog_qt.py](gui/settings_dialog_qt.py)
+
+### Adding a New API Endpoint
+
+1. Add route in [backend/api_server.py](backend/api_server.py) `_setup_routes()`
+2. Add supporting logic in [backend/app_controller.py](backend/app_controller.py) if needed
+3. Call from Svelte via `backendStore.apiGet/apiPost/apiPut`
 
 ### Modifying Transcription Display
 
-- Local GUI: [gui/transcription_display_qt.py](gui/transcription_display_qt.py)
-- Local web display (OBS): [server/web_display.py](server/web_display.py) (HTML in `_get_html()`)
+- Tauri UI: [src/lib/components/TranscriptionDisplay.svelte](src/lib/components/TranscriptionDisplay.svelte)
+- OBS display: [server/web_display.py](server/web_display.py) (HTML in `_get_html()`)
 - Multi-user display: [server/nodejs/server.js](server/nodejs/server.js) (display page in `/display` route)
 
-### Adding a New Model Size
-
-- Update [client/transcription_engine.py](client/transcription_engine.py)
-- Add to model selector in [gui/settings_dialog_qt.py](gui/settings_dialog_qt.py)
-- Update CLI argument choices in [main_cli.py](main_cli.py)
-
 ## Dependencies
 
-**Core:**
-- `faster-whisper`: Optimized Whisper inference
-- `torch`: ML framework (CUDA-enabled via special index)
-- `PySide6`: Qt6 bindings for GUI
-- `sounddevice`: Cross-platform audio I/O
-- `noisereduce`, `webrtcvad`: Audio preprocessing
-
-**Web Server:**
-- `fastapi`, `uvicorn`: Web server and ASGI
-- `websockets`: Real-time communication
-
-**Build:**
-- `pyinstaller`: Create standalone executables
-- `uv`: Fast package manager
-
-**PyTorch CUDA Index:**
-- Configured in [pyproject.toml](pyproject.toml) under `[[tool.uv.index]]`
-- Uses PyTorch's custom wheel repository for CUDA builds
-- Automatically installed with `uv sync` when using CUDA build scripts
+**Frontend:** Tauri v2, Svelte 5, Vite, TypeScript
+**Backend:** Python 3.9+, FastAPI, Uvicorn, RealtimeSTT, faster-whisper, PyTorch (CUDA), sounddevice
+**Build:** PyInstaller (sidecar), Tauri CLI (app), uv (Python packages)
+**CI:** Gitea Actions with platform-specific runners
 
 ## Platform-Specific Notes
 
 ### Linux
-- Uses PulseAudio/ALSA for audio
-- Build scripts use bash (`.sh` files)
-- Executable: `dist/LocalTranscription/LocalTranscription`
+- Tauri needs: `libgtk-3-dev`, `libwebkit2gtk-4.1-dev`, `libappindicator3-dev`, `librsvg2-dev`, `patchelf`
+- Audio: PulseAudio/ALSA via sounddevice
 
 ### Windows
-- Uses Windows Audio/WASAPI
-- Build scripts use batch (`.bat` files)
-- Executable: `dist\LocalTranscription\LocalTranscription.exe`
-- Requires Visual C++ Redistributable on target systems
+- Tauri needs: WebView2 (usually pre-installed on Windows 10+)
+- Audio: WASAPI via sounddevice
 
-### Cross-Building
-- **Cannot cross-compile** - must build on target platform
-- CI/CD should use platform-specific runners
-
-## Troubleshooting
-
-### Model Loading Issues
-- Models download to `~/.cache/huggingface/`
-- First run requires internet connection
-- Check disk space (models: 75MB-3GB depending on size)
-
-### Audio Device Issues
-- Run `uv run python main_cli.py --list-devices`
-- Check permissions (microphone access)
-- Try different device indices in settings
-
-### GPU Not Detected
-- Run `uv run python check_cuda.py`
-- Install CUDA drivers (not CUDA toolkit - bundled in build)
-- Verify PyTorch sees GPU: `python -c "import torch; print(torch.cuda.is_available())"`
-
-### Web Server Port Conflicts
-- Default port: 8080
-- Change in [gui/main_window_qt.py](gui/main_window_qt.py) or config
-- Use `lsof -i :8080` (Linux) or `netstat -ano | findstr :8080` (Windows)
-
-## OBS Integration
-
-### Local Display (Single User)
-1. Start Local Transcription app
-2. In OBS: Add "Browser" source
-3. URL: `http://localhost:8080`
-4. Set dimensions (e.g., 1920x300)
-
-### Multi-User Display (Node.js Server)
-1. Deploy Node.js server (see [server/nodejs/README.md](server/nodejs/README.md))
-2. Each user configures Server URL: `http://your-server:3000/api/send`
-3. Enter same room name and passphrase
-4. In OBS: Add "Browser" source
-5. URL: `http://your-server:3000/display?room=ROOM&fade=10&timestamps=true&maxlines=50&fontsize=16`
-6. Customize URL parameters as needed:
-   - `timestamps=false` - Hide timestamps
-   - `maxlines=30` - Show max 30 lines (prevents scroll bars)
-   - `fontsize=18` - Larger font
-   - `fontfamily=Courier` - Different font
-
-## Performance Optimization
-
-**For Real-Time Transcription:**
-- Use `tiny` or `base` model (faster)
-- Enable GPU if available (5-10x faster)
-- Increase chunk_duration for better accuracy (higher latency)
-- Decrease chunk_duration for lower latency (less context)
-- Enable VAD to skip silent audio
-
-**For Build Size Reduction:**
-- Don't bundle models (download on demand)
-- Use CPU-only build if no GPU users
-- Enable UPX compression (already in spec)
-
-## Phase Status
-
-- ✅ **Phase 1**: Standalone desktop application (complete)
-- ✅ **Web Server**: Local OBS integration (complete)
-- ✅ **Builds**: PyInstaller executables (complete)
-- ✅ **Phase 2**: Multi-user Node.js server (complete, optional)
-- ⏸️ **Phase 3+**: Advanced features (see [NEXT_STEPS.md](NEXT_STEPS.md))
+### macOS
+- Tauri needs: Xcode Command Line Tools
+- Audio: CoreAudio via sounddevice
+- GPU: MPS (Apple Silicon) detected by `device_utils.py`
+- `Info.plist` must include `NSMicrophoneUsageDescription` for mic access
+- No CUDA builds — CPU/MPS only
 
 ## Related Documentation
 
-- [README.md](README.md) - User-facing documentation
-- [BUILD.md](BUILD.md) - Detailed build instructions
-- [INSTALL.md](INSTALL.md) - Installation guide
-- [NEXT_STEPS.md](NEXT_STEPS.md) - Future enhancements
-- [server/nodejs/README.md](server/nodejs/README.md) - Node.js server setup and deployment
+- [README.md](README.md) — User-facing documentation
+- [BUILD.md](BUILD.md) — Detailed build instructions
+- [INSTALL.md](INSTALL.md) — Installation guide
+- [server/nodejs/README.md](server/nodejs/README.md) — Node.js server setup

DEEPGRAM_PROXY_PLAN.md

@@ -0,0 +1,574 @@
+# Deepgram Proxy Service — Build Plan
+
+## Project Overview
+
+Build a standalone hosted service that acts as a Deepgram proxy for the Local Transcription
+desktop app. Users can either provide their own Deepgram API key (BYOK) or use the managed
+service with prepaid credits purchased via Stripe.
+
+This is a **separate repository** from `local-transcription`. The desktop app will be updated
+in a second phase to support both modes.
+
+---
+
+## Repository Structure
+
+```
+transcription-proxy/
+├── src/
+│   ├── server.js              # Express app entry point
+│   ├── config.js              # Environment config loader
+│   ├── db/
+│   │   ├── index.js           # node-postgres pool setup
+│   │   └── migrations/        # SQL migration files (numbered)
+│   │       ├── 001_users.sql
+│   │       ├── 002_credits.sql
+│   │       ├── 003_sessions.sql
+│   │       └── 004_usage_ledger.sql
+│   ├── middleware/
+│   │   ├── auth.js            # JWT verification middleware
+│   │   └── rateLimit.js       # Per-user rate limiting
+│   ├── routes/
+│   │   ├── auth.js            # POST /auth/register, /auth/login, /auth/refresh
+│   │   ├── billing.js         # POST /billing/checkout, GET /billing/balance
+│   │   └── account.js         # GET /account/me, GET /account/usage
+│   ├── websocket/
+│   │   └── proxy.js           # WebSocket proxy handler (core feature)
+│   └── webhooks/
+│       └── stripe.js          # POST /webhooks/stripe
+├── web/                       # Simple frontend dashboard
+│   ├── index.html             # Landing / login page
+│   ├── dashboard.html         # Balance, usage history, buy credits
+│   └── assets/
+│       ├── app.js
+│       └── style.css
+├── .env.example
+├── package.json
+├── docker-compose.yml         # Postgres + app for local dev
+└── CLAUDE.md                  # This file (after renaming)
+```
+
+---
+
+## Technology Stack
+
+- **Runtime**: Node.js 20+
+- **Framework**: Express 4
+- **WebSocket**: `ws` library (not socket.io — keep it lean)
+- **Database**: PostgreSQL 15+ via `pg` (node-postgres)
+- **Auth**: JWT via `jsonwebtoken`, passwords hashed with `bcrypt`
+- **Payments**: Stripe Node SDK (`stripe`)
+- **Environment**: `dotenv`
+- **Dev tooling**: `nodemon` for dev, no TypeScript (keep it simple)
+
+---
+
+## Database Schema
+
+Run migrations in order. Use a simple `schema_migrations` table to track applied migrations.
+
+### 001_users.sql
+```sql
+CREATE TABLE schema_migrations (
+  version INTEGER PRIMARY KEY,
+  applied_at TIMESTAMPTZ DEFAULT NOW()
+);
+
+CREATE TABLE users (
+  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+  email TEXT UNIQUE NOT NULL,
+  password_hash TEXT NOT NULL,
+  stripe_customer_id TEXT UNIQUE,
+  created_at TIMESTAMPTZ DEFAULT NOW(),
+  updated_at TIMESTAMPTZ DEFAULT NOW()
+);
+```
+
+### 002_credits.sql
+```sql
+CREATE TABLE credit_balance (
+  user_id UUID PRIMARY KEY REFERENCES users(id) ON DELETE CASCADE,
+  seconds_remaining INTEGER NOT NULL DEFAULT 0,
+  updated_at TIMESTAMPTZ DEFAULT NOW()
+);
+```
+
+### 003_sessions.sql
+```sql
+CREATE TABLE transcription_sessions (
+  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+  user_id UUID NOT NULL REFERENCES users(id),
+  mode TEXT NOT NULL CHECK (mode IN ('managed', 'byok')),
+  started_at TIMESTAMPTZ DEFAULT NOW(),
+  ended_at TIMESTAMPTZ,
+  seconds_used INTEGER NOT NULL DEFAULT 0,
+  deepgram_model TEXT,
+  status TEXT NOT NULL DEFAULT 'active' CHECK (status IN ('active', 'completed', 'terminated'))
+);
+
+CREATE INDEX idx_sessions_user_id ON transcription_sessions(user_id);
+CREATE INDEX idx_sessions_started_at ON transcription_sessions(started_at);
+```
+
+### 004_usage_ledger.sql
+```sql
+CREATE TABLE usage_ledger (
+  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+  user_id UUID NOT NULL REFERENCES users(id),
+  session_id UUID REFERENCES transcription_sessions(id),
+  recorded_at TIMESTAMPTZ DEFAULT NOW(),
+  seconds INTEGER NOT NULL,
+  description TEXT  -- e.g. 'session_usage', 'credit_purchase', 'manual_adjustment'
+);
+
+CREATE INDEX idx_ledger_user_id ON usage_ledger(user_id);
+```
+
+---
+
+## Environment Variables (.env.example)
+
+```env
+# Server
+PORT=3000
+NODE_ENV=development
+
+# Database
+DATABASE_URL=postgresql://user:password@localhost:5432/transcription_proxy
+
+# Auth
+JWT_SECRET=changeme_use_long_random_string
+JWT_EXPIRY=7d
+
+# Stripe
+STRIPE_SECRET_KEY=sk_test_...
+STRIPE_WEBHOOK_SECRET=whsec_...
+
+# Deepgram
+DEEPGRAM_API_KEY=your_deepgram_key_here
+
+# Pricing (seconds per dollar — adjust for your margin)
+# Default: 1000 seconds per $1 = $0.006/min managed cost covered + margin
+CREDITS_PER_DOLLAR=1000
+```
+
+---
+
+## Phase 1 — Core Server & Auth
+
+### Goals
+- Working Express app with Postgres connection
+- Migration runner
+- User registration and login
+- JWT middleware
+
+### Tasks
+
+1. **Scaffold project**
+   - `npm init`, install dependencies: `express ws pg jsonwebtoken bcrypt stripe dotenv`
+   - Dev dependencies: `nodemon`
+   - Add `start` and `dev` scripts to package.json
+
+2. **Database connection** (`src/db/index.js`)
+   - Export a `pg.Pool` instance using `DATABASE_URL`
+   - Export a `migrate()` function that reads `src/db/migrations/*.sql` in order,
+     checks `schema_migrations` table, and applies unapplied ones
+   - Call `migrate()` on server startup before listening
+
+3. **Auth routes** (`src/routes/auth.js`)
+   - `POST /auth/register` — validate email/password, hash password with bcrypt (cost 12),
+     insert user, insert empty credit_balance row, return JWT
+   - `POST /auth/login` — verify credentials, return JWT + refresh token
+   - `POST /auth/refresh` — validate refresh token, return new JWT
+   - Passwords: minimum 8 characters, validate email format
+
+4. **JWT middleware** (`src/middleware/auth.js`)
+   - Verify `Authorization: Bearer <token>` header
+   - Attach `req.user = { id, email }` on success
+   - Return 401 on failure
+   - Export as `requireAuth` middleware
+
+5. **Basic health check**
+   - `GET /health` returns `{ status: 'ok', db: 'connected' }`
+
+---
+
+## Phase 2 — Billing & Credits
+
+### Goals
+- Stripe Checkout session creation for credit purchases
+- Webhook handler to fulfill purchases
+- Balance endpoint
+
+### Payment Methods
+
+Use **Stripe Dynamic Payment Methods** — do NOT hardcode `payment_method_types` in the
+Checkout Session. Instead, leave it unset and manage everything from the Stripe Dashboard.
+
+Enable the following in the Stripe Dashboard under Settings → Payment Methods:
+- **Cards** (Visa, Mastercard, Amex, Discover) — on by default
+- **PayPal** — enable manually
+- **Apple Pay** — on by default, shows automatically on Safari/iOS
+- **Google Pay** — enable manually (one toggle)
+- **Cash App Pay** — enable manually (popular with streaming audiences)
+- **Link** — Stripe's saved payment network, on by default
+
+Stripe will automatically show the most relevant methods to each user based on their
+location and device. No code changes are needed to add or remove methods in future —
+it's all dashboard config.
+
+### Credit Packages
+
+Define these as constants in `src/config.js`:
+
+```javascript
+CREDIT_PACKAGES: [
+  { id: 'pack_500',  label: '500 minutes',  seconds: 30000,  price_cents: 300  },
+  { id: 'pack_1200', label: '1200 minutes', seconds: 72000,  price_cents: 600  },
+  { id: 'pack_3000', label: '3000 minutes', seconds: 180000, price_cents: 1200 },
+]
+```
+
+Adjust pricing to cover Deepgram costs ($0.006/min = $0.0001/sec) plus margin and
+Stripe fees (~2.9% + $0.30).
+
+### Tasks
+
+1. **Stripe customer creation**
+   - On user registration, create a Stripe customer and store `stripe_customer_id`
+   - Do this asynchronously (don't block registration response)
+
+2. **Billing routes** (`src/routes/billing.js`)
+   - `GET /billing/packages` — return credit package list (no auth required)
+   - `POST /billing/checkout` — requires auth, accepts `{ package_id }`,
+     creates Stripe Checkout Session using dynamic payment methods (do NOT pass
+     `payment_method_types` — omitting it enables dynamic methods automatically),
+     include `payment_intent_data.metadata` containing `user_id` and `package_id`,
+     returns `{ checkout_url }`
+   - `GET /billing/balance` — requires auth, returns `{ seconds_remaining, minutes_remaining }`
+
+3. **Stripe webhook** (`src/webhooks/stripe.js`)
+   - Mount at `POST /webhooks/stripe` with raw body (use `express.raw()` for this route only)
+   - Verify signature with `stripe.webhooks.constructEvent()`
+   - Handle `checkout.session.completed`:
+     - Extract `user_id` and `package_id` from metadata
+     - Add seconds to `credit_balance`
+     - Insert row into `usage_ledger` with description `'credit_purchase'`
+   - Handle `payment_intent.payment_failed`: log it (no action needed for prepaid)
+
+4. **Success/cancel pages**
+   - Stripe Checkout redirects to `GET /billing/success?session_id=...` and `/billing/cancel`
+   - These can be simple HTML responses or redirects to the web dashboard
+
+---
+
+## Phase 3 — WebSocket Proxy (Core Feature)
+
+This is the most critical component. The proxy sits between the desktop client and Deepgram,
+forwarding audio while tracking usage in real time.
+
+### Connection Flow
+
+```
+Client connects → validate JWT → check credit balance → open Deepgram upstream
+     ↓
+Audio chunks arrive → forward to Deepgram → record usage every 5 seconds
+     ↓
+Transcription arrives from Deepgram → forward to client
+     ↓
+Client disconnects (or credits exhausted) → close upstream → finalize session
+```
+
+### WebSocket Protocol
+
+**Client connects to**: `wss://your-domain/ws/transcribe`
+
+**Client sends as first message** (JSON):
+```json
+{
+  "type": "auth",
+  "token": "<JWT>",
+  "config": {
+    "model": "nova-2",
+    "language": "en-US",
+    "interim_results": true,
+    "endpointing": 300
+  }
+}
+```
+
+**After auth success, client sends**: raw audio binary frames (PCM 16kHz mono)
+
+**Server sends to client**:
+```json
+{ "type": "ready" }
+{ "type": "transcript", "text": "...", "is_final": true, "confidence": 0.98 }
+{ "type": "error", "code": "insufficient_credits", "message": "..." }
+{ "type": "credits_low", "seconds_remaining": 300 }
+{ "type": "session_end", "seconds_used": 120 }
+```
+
+### Tasks (`src/websocket/proxy.js`)
+
+1. **Upgrade handler**
+   - Attach to the HTTP server using `ws.Server({ noServer: true })`
+   - In `server.on('upgrade', ...)`, route `/ws/transcribe` to this handler
+
+2. **Auth handshake**
+   - First message must be `{ type: 'auth', token: '...' }` — received within 5 seconds
+     or connection is terminated
+   - Verify JWT, load user's credit balance from DB
+   - If balance is 0 or negative, send `insufficient_credits` error and close
+
+3. **Deepgram upstream connection**
+   - Open a WebSocket to Deepgram's streaming API:
+     `wss://api.deepgram.com/v1/listen?model=nova-2&language=en-US&interim_results=true`
+   - Auth header: `Authorization: Token <DEEPGRAM_API_KEY>`
+   - Use query params from client's `config` object (whitelist allowed params)
+
+4. **Audio forwarding**
+   - All binary messages from client → forward directly to Deepgram upstream
+   - All messages from Deepgram → parse JSON, reformat, forward to client
+
+5. **Usage tracking**
+   - Create a `transcription_sessions` row on connection
+   - Maintain an in-memory `secondsUsed` counter per connection
+   - Deepgram sends `{ type: 'Results', duration: X }` in responses — use this for
+     accurate second counting
+   - Every 10 seconds (or on disconnect), write current `secondsUsed` to DB:
+     - Update `transcription_sessions.seconds_used`
+     - Decrement `credit_balance.seconds_remaining`
+     - Insert into `usage_ledger`
+   - If `seconds_remaining` hits 0: send `insufficient_credits`, close connection
+
+6. **Cleanup on disconnect**
+   - Mark session as `completed`, set `ended_at`
+   - Do final usage flush to DB
+   - Close Deepgram upstream if still open
+
+7. **Error handling**
+   - If Deepgram upstream closes unexpectedly, notify client and close
+   - If client sends malformed data, log and continue (don't crash)
+
+---
+
+## Phase 4 — Account Routes & Rate Limiting
+
+### Tasks
+
+1. **Account routes** (`src/routes/account.js`)
+   - `GET /account/me` — returns `{ email, credits: { seconds_remaining, minutes_remaining }, created_at }`
+   - `GET /account/usage` — returns last 30 days of `usage_ledger` entries grouped by day,
+     plus list of last 10 sessions with duration
+
+2. **Rate limiting** (`src/middleware/rateLimit.js`)
+   - Use in-memory rate limiting (no Redis needed at this scale)
+   - Auth endpoints: max 10 requests per minute per IP
+   - WebSocket connections: max 2 concurrent connections per user
+     (store active connections in a `Map<userId, Set<ws>>`)
+
+---
+
+## Phase 5 — Web Dashboard
+
+A simple, functional HTML/CSS/JS dashboard. No framework — vanilla JS is fine.
+This is a developer-friendly streamer tool, not a consumer SaaS, so clean and
+functional beats flashy.
+
+### Pages
+
+**`/` (Landing / Login)**
+- Brief product description (what this is, why it exists)
+- Login form and link to register
+- Link to GitHub/Gitea repo
+
+**`/dashboard` (Post-login)**
+- Current credit balance (minutes remaining, prominently displayed)
+- "Buy Credits" section showing the three packages with Stripe Checkout buttons
+- Usage chart: last 30 days bar chart (vanilla canvas or a small CDN chart lib)
+- Recent sessions table: date, duration, status
+
+**`/register`**
+- Registration form
+
+### Implementation Notes
+- Store JWT in `localStorage`, attach as `Authorization` header on API calls
+- Redirect to `/` if JWT missing or expired
+- Keep CSS minimal but readable — this is a utility dashboard
+
+---
+
+## Phase 6 — Desktop App Integration
+
+Changes needed in the `local-transcription` Python repo.
+
+### New file: `client/remote_transcription.py`
+
+This module replaces `transcription_engine_realtime.py` when remote mode is active.
+
+```python
+# Pseudocode / spec for Claude Code to implement
+
+class RemoteTranscriptionEngine:
+    """
+    Connects to the transcription proxy WebSocket and streams audio.
+    Provides the same callback interface as the local engine so the
+    rest of the app doesn't need to change.
+    """
+
+    def __init__(self, config, on_transcript_callback):
+        # config contains: server_url, auth_token (or byok_api_key), model
+        ...
+
+    def start(self):
+        # Open WebSocket connection
+        # Send auth message
+        # Start audio capture thread (reuse existing audio_capture.py)
+        ...
+
+    def stop(self):
+        # Close WebSocket gracefully
+        ...
+
+    def _on_audio_chunk(self, audio_data):
+        # Called by audio_capture.py with raw PCM data
+        # Send as binary WebSocket frame
+        ...
+
+    def _on_server_message(self, message):
+        # Parse JSON from server
+        # On type='transcript': call on_transcript_callback
+        # On type='credits_low': trigger UI warning
+        # On type='error': surface to user
+        ...
+```
+
+### BYOK Mode
+
+When user provides their own Deepgram key, connect directly to Deepgram instead of the proxy:
+- Endpoint: `wss://api.deepgram.com/v1/listen?...`
+- Auth: `Authorization: Token <user_key>`
+- No session tracking (Deepgram handles billing directly to the user)
+- Same `RemoteTranscriptionEngine` class, just different URL and auth header
+
+### Settings Changes (`gui/settings_dialog_qt.py`)
+
+Add a new "Transcription Mode" section:
+
+```
+Transcription Mode:
+  ○ Local (Whisper)          [existing behavior]
+  ○ Remote - Managed         [requires login]
+  ○ Remote - BYOK            [requires Deepgram API key]
+
+[If Managed selected]:
+  Server URL: [____________]
+  [Login / Register]  [View Balance: 420 min remaining]
+
+[If BYOK selected]:
+  Deepgram API Key: [____________]
+  Model: [nova-2 ▼]
+```
+
+### Config additions (`config/default_config.yaml`)
+
+```yaml
+remote:
+  mode: local           # local | managed | byok
+  server_url: ""        # proxy server URL for managed mode
+  auth_token: ""        # JWT stored after login
+  byok_api_key: ""      # Deepgram key for BYOK mode
+  deepgram_model: nova-2
+  language: en-US
+```
+
+---
+
+## Build & Deployment Notes
+
+### Docker Compose (local dev)
+
+```yaml
+version: '3.8'
+services:
+  db:
+    image: postgres:15
+    environment:
+      POSTGRES_DB: transcription_proxy
+      POSTGRES_USER: user
+      POSTGRES_PASSWORD: password
+    ports:
+      - "5432:5432"
+    volumes:
+      - pgdata:/var/lib/postgresql/data
+
+  app:
+    build: .
+    ports:
+      - "3000:3000"
+    environment:
+      DATABASE_URL: postgresql://user:password@db:5432/transcription_proxy
+    depends_on:
+      - db
+    volumes:
+      - .:/app
+      - /app/node_modules
+
+volumes:
+  pgdata:
+```
+
+### Production Deployment
+
+This service is a good fit for deployment on AnHonestHost WHP as a containerized app,
+or on a small DigitalOcean/Linode VPS. Requirements are light:
+- 512MB RAM is sufficient
+- Postgres can be the same instance as other services or managed (e.g., Supabase free tier)
+- Needs a public domain with SSL for WebSocket (`wss://`) to work from desktop clients
+
+Reverse proxy config (Nginx or HAProxy) should:
+- Proxy HTTP → `localhost:3000`
+- Pass `Upgrade` and `Connection` headers for WebSocket support
+- Set `proxy_read_timeout 3600` (sessions can be long)
+
+---
+
+## Implementation Order
+
+Build and test in this sequence:
+
+1. Project scaffold + DB connection + migrations
+2. Auth (register/login/JWT) — test with curl
+3. Stripe billing + webhook — test with Stripe CLI (`stripe listen`)
+4. WebSocket proxy — test with a simple browser WebSocket client first
+5. Usage tracking and credit decrement
+6. Account/usage routes
+7. Web dashboard
+8. Desktop app integration (separate PR in local-transcription repo)
+
+---
+
+## Key Decisions & Rationale
+
+| Decision | Choice | Reason |
+|---|---|---|
+| Credits model | Prepaid | No surprise charges, simpler billing, better for irregular streamer usage |
+| WebSocket library | `ws` | Lightweight, no abstraction overhead, plays well with raw binary audio |
+| Auth | JWT (stateless) | Desktop app holds token locally; no session store needed |
+| DB driver | `node-postgres` (pg) | No ORM overhead; schema is simple enough for raw SQL |
+| Migrations | Raw SQL files | No dependency on Knex/Prisma; easy to inspect and reason about |
+| Rate limiting | In-memory | Redis is overkill for this scale; single-process Node is fine initially |
+| Frontend | Vanilla JS | Dashboard is simple utility UI; no framework justified |
+
+---
+
+## What This Plan Does NOT Cover (Future Work)
+
+- OAuth / social login
+- Admin panel for managing users
+- Refund / credit adjustment tooling
+- Email verification
+- Password reset flow
+- Multi-language support beyond Deepgram's defaults
+- Analytics / aggregated usage reporting
+- Self-hosted Whisper inference as a third backend option

README.md

@@ -1,494 +1,318 @@
-# Local Transcription for Streamers
+# Local Transcription
 
-A local speech-to-text application designed for streamers that provides real-time transcription using Whisper or similar models. Multiple users can run the application locally and sync their transcriptions to a centralized web stream that can be easily captured in OBS or other streaming software.
+A real-time speech-to-text desktop application for streamers. Runs locally on your machine with GPU or CPU, displays transcriptions via OBS browser source, and optionally syncs with other users through a multi-user server.
+
+**Version 1.4.0**
 
 ## Features
 
-- **Standalone Desktop Application**: Use locally with built-in GUI display - no server required
-- **Local Transcription**: Run Whisper (or compatible models) locally on your machine
-- **CPU/GPU Support**: Choose between CPU or GPU processing based on your hardware
-- **Real-time Processing**: Live audio transcription with minimal latency
+- **Real-Time Transcription**: Live speech-to-text using Whisper models with minimal latency
+- **Cross-Platform**: Native desktop app for Windows, macOS, and Linux via [Tauri](https://tauri.app/)
+- **Dual Transcription Modes**: Local (Whisper) or cloud (Deepgram) with managed billing or BYOK
+- **CPU & GPU Support**: Automatic detection of CUDA (NVIDIA), MPS (Apple Silicon), or CPU fallback
+- **Advanced Voice Detection**: Dual-layer VAD (WebRTC + Silero) for accurate speech detection
+- **OBS Integration**: Built-in web server for browser source capture at `http://localhost:8080`
+- **Multi-User Sync**: Optional Node.js server to sync transcriptions across multiple users
+- **Custom Fonts**: Support for system fonts, web-safe fonts, Google Fonts, and custom font files
+- **Customizable Colors**: User-configurable colors for name, text, and background
 - **Noise Suppression**: Built-in audio preprocessing to reduce background noise
-- **User Configuration**: Set your display name and preferences through the GUI
-- **Optional Multi-user Sync**: Connect to a server to sync transcriptions with other users
-- **OBS Integration**: Web-based output designed for easy browser source capture
-- **Privacy-First**: All processing happens locally; only transcription text is shared
-- **Customizable**: Configure model size, language, and streaming settings
+- **Auto-Updates**: Automatic update checking with release notes display
+
+## Architecture
+
+The application uses a two-process architecture:
+
+1. **Tauri Shell** (Svelte 5 frontend) — lightweight native window (~50MB) rendering the UI
+2. **Python Backend** (sidecar) — headless process running transcription, audio capture, and the OBS web server
+
+The Tauri frontend communicates with the Python backend via REST API and WebSocket, following the same pattern as [voice-to-notes](https://repo.anhonesthost.net/MacroPad/voice-to-notes).
+
+```
+Tauri App (user launches this)
+  └─ Spawns Python backend as sidecar
+       ├─ FastAPI REST API (control endpoints)
+       ├─ WebSocket /ws/control (real-time state + transcriptions)
+       ├─ OBS web display at http://localhost:8080
+       └─ Transcription engine (Whisper or Deepgram)
+```
+
+> **Legacy GUI**: The original PySide6/Qt desktop GUI (`main.py`) still works alongside the new Tauri frontend during the transition period.
 
 ## Quick Start
 
 ### Running from Source
 
 ```bash
-# Install dependencies
+# Install Python dependencies
 uv sync
 
-# Run the application
+# Run the Tauri app (frontend + backend)
+npm install
+npm run tauri dev
+
+# Or run just the headless backend (for development)
+uv run python -m backend.main_headless
+
+# Or run the legacy PySide6 GUI
 uv run python main.py
 ```
 
-### Building Standalone Executables
+### Using Pre-Built Executables
 
-To create standalone executables for distribution:
+Download the latest release from the [releases page](https://repo.anhonesthost.net/streamer-tools/local-transcription/releases):
+
+- **App installer** (Tauri shell): `.msi` (Windows), `.dmg` (macOS), `.deb`/`.rpm`/`.AppImage` (Linux)
+- **Sidecar** (Python backend): Download the matching `sidecar-*` zip for your platform (CUDA or CPU)
+
+### Building from Source
 
-**Linux:**
 ```bash
-./build.sh
-```
+# Build the Tauri app
+npm install
+npm run tauri build
+# Output: src-tauri/target/release/bundle/
 
-**Windows:**
-```cmd
+# Build the Python sidecar (headless, no Qt)
+uv sync
+uv run pyinstaller local-transcription-headless.spec
+# Output: dist/local-transcription-backend/
+
+# Build the legacy PySide6 app (Linux)
+./build.sh
+# Build the legacy PySide6 app (Windows)
 build.bat
 ```
 
 For detailed build instructions, see [BUILD.md](BUILD.md).
 
-## Architecture Overview
+## Usage
 
-The application can run in two modes:
+### Standalone Mode
 
-### Standalone Mode (No Server Required):
-1. **Desktop Application**: Captures audio, performs speech-to-text, and displays transcriptions locally in a GUI window
+1. Launch the application
+2. Select your microphone from the audio device dropdown
+3. Choose a Whisper model (smaller = faster, larger = more accurate):
+   - `tiny.en` / `tiny` — Fastest, good for quick captions
+   - `base.en` / `base` — Balanced speed and accuracy
+   - `small.en` / `small` — Better accuracy
+   - `medium.en` / `medium` — High accuracy
+   - `large-v3` — Best accuracy (requires more resources)
+4. Click **Start** to begin transcription
+5. Transcriptions appear in the main window and at `http://localhost:8080`
 
-### Multi-user Sync Mode (Optional):
-1. **Local Transcription Client**: Captures audio, performs speech-to-text, and sends results to the web server
-2. **Centralized Web Server**: Aggregates transcriptions from multiple clients and serves a web stream
-3. **Web Stream Interface**: Browser-accessible page displaying synchronized transcriptions (for OBS capture)
+### Remote Transcription (Deepgram)
 
-## Use Cases
+Instead of local Whisper models, you can use cloud-based transcription:
 
-- **Multi-language Streams**: Multiple translators transcribing in different languages
-- **Accessibility**: Provide real-time captions for viewers
-- **Collaborative Podcasts**: Multiple hosts with separate transcriptions
-- **Gaming Commentary**: Track who said what in multiplayer sessions
+- **Managed mode**: Sign up via the transcription proxy for metered billing
+- **BYOK mode**: Bring your own Deepgram API key for direct access
 
----
+Configure in Settings > Remote Transcription.
 
-## Implementation Plan
+### OBS Browser Source Setup
 
-### Phase 1: Standalone Desktop Application
+1. Start the Local Transcription app
+2. In OBS, add a **Browser** source
+3. Set URL to `http://localhost:8080`
+4. Set dimensions (e.g., 1920x300)
+5. Check "Shutdown source when not visible" for performance
 
-**Objective**: Build a fully functional standalone transcription app with GUI that works without any server
+### Multi-User Mode (Optional)
 
-#### Components:
-1. **Audio Capture Module**
-   - Capture system audio or microphone input
-   - Support multiple audio sources (virtual audio cables, physical devices)
-   - Real-time audio buffering with configurable chunk sizes
-   - **Noise Suppression**: Preprocess audio to reduce background noise
-   - Libraries: `pyaudio`, `sounddevice`, `noisereduce`, `webrtcvad`
+For syncing transcriptions across multiple users (e.g., multi-host streams or translation teams):
 
-2. **Noise Suppression Engine**
-   - Real-time noise reduction using RNNoise or noisereduce
-   - Adjustable noise reduction strength
-   - Optional VAD (Voice Activity Detection) to skip silent segments
-   - Libraries: `noisereduce`, `rnnoise-python`, `webrtcvad`
+1. Deploy the Node.js server (see [server/nodejs/README.md](server/nodejs/README.md))
+2. In the app settings, enable **Server Sync**
+3. Enter the server URL (e.g., `http://your-server:3000/api/send`)
+4. Set a room name and passphrase (shared with other users)
+5. In OBS, use the server's display URL with your room name:
+   ```
+   http://your-server:3000/display?room=YOURROOM&timestamps=true&maxlines=50
+   ```
 
-3. **Transcription Engine**
-   - Integrate OpenAI Whisper (or alternatives: faster-whisper, whisper.cpp)
-   - Support multiple model sizes (tiny, base, small, medium, large)
-   - CPU and GPU inference options
-   - Model management and automatic downloading
-   - Libraries: `openai-whisper`, `faster-whisper`, `torch`
+## Configuration
 
-4. **Device Selection**
-   - Auto-detect available compute devices (CPU, CUDA, MPS for Mac)
-   - Allow user to specify preferred device via GUI
-   - Graceful fallback if GPU unavailable
-   - Display device status and performance metrics
+Settings are stored at `~/.local-transcription/config.yaml` and can be modified through the GUI settings panel or the REST API.
 
-5. **Desktop GUI Application**
-   - Cross-platform GUI using PyQt6, Tkinter, or CustomTkinter
-   - Main transcription display window (scrolling text area)
-   - Settings panel for configuration
-   - User name input field
-   - Audio input device selector
-   - Model size selector
-   - CPU/GPU toggle
-   - Start/Stop transcription button
-   - Optional: System tray integration
-   - Libraries: `PyQt6`, `customtkinter`, or `tkinter`
+### Key Settings
 
-6. **Local Display**
-   - Real-time transcription display in GUI window
-   - Scrolling text with timestamps
-   - User name/label shown with transcriptions
-   - Copy transcription to clipboard
-   - Optional: Save transcription to file (TXT, SRT, VTT)
+| Setting | Description | Default |
+|---------|-------------|---------|
+| `transcription.model` | Whisper model to use | `base.en` |
+| `transcription.device` | Processing device (auto/cuda/cpu) | `auto` |
+| `transcription.enable_realtime_transcription` | Show preview while speaking | `false` |
+| `transcription.silero_sensitivity` | VAD sensitivity (0-1, lower = more sensitive) | `0.4` |
+| `transcription.post_speech_silence_duration` | Silence before finalizing (seconds) | `0.3` |
+| `transcription.continuous_mode` | Fast speaker mode for quick talkers | `false` |
+| `remote.mode` | Transcription mode (local/managed/byok) | `local` |
+| `display.show_timestamps` | Show timestamps with transcriptions | `true` |
+| `display.fade_after_seconds` | Fade out time (0 = never) | `10` |
+| `display.font_source` | Font type (System Font/Web-Safe/Google Font/Custom File) | `System Font` |
+| `web_server.port` | Local web server port | `8080` |
 
-#### Tasks:
-- [ ] Set up project structure and dependencies
-- [ ] Implement audio capture with device selection
-- [ ] Add noise suppression and VAD preprocessing
-- [ ] Integrate Whisper model loading and inference
-- [ ] Add CPU/GPU device detection and selection logic
-- [ ] Create real-time audio buffer processing pipeline
-- [ ] Design and implement GUI layout (main window)
-- [ ] Add settings panel with user name configuration
-- [ ] Implement local transcription display area
-- [ ] Add start/stop controls and status indicators
-- [ ] Test transcription accuracy and latency
-- [ ] Test noise suppression effectiveness
-
----
-
-### Phase 2: Web Server and Sync System
-
-**Objective**: Create a centralized server to aggregate and serve transcriptions
-
-#### Components:
-1. **Web Server**
-   - FastAPI or Flask-based REST API
-   - WebSocket support for real-time updates
-   - User/client registration and management
-   - Libraries: `fastapi`, `uvicorn`, `websockets`
-
-2. **Transcription Aggregator**
-   - Receive transcription chunks from multiple clients
-   - Associate transcriptions with user IDs/names
-   - Timestamp management and synchronization
-   - Buffer management for smooth streaming
-
-3. **Database/Storage** (Optional)
-   - Store transcription history (SQLite for simplicity)
-   - Session management
-   - Export functionality (SRT, VTT, TXT formats)
-
-#### API Endpoints:
-- `POST /api/register` - Register a new client
-- `POST /api/transcription` - Submit transcription chunk
-- `WS /api/stream` - WebSocket for real-time transcription stream
-- `GET /stream` - Web page for OBS browser source
-
-#### Tasks:
-- [ ] Set up FastAPI server with CORS support
-- [ ] Implement WebSocket handler for real-time streaming
-- [ ] Create client registration system
-- [ ] Build transcription aggregation logic
-- [ ] Add timestamp synchronization
-- [ ] Create data models for clients and transcriptions
-
----
-
-### Phase 3: Client-Server Communication (Optional Multi-user Mode)
-
-**Objective**: Add optional server connectivity to enable multi-user transcription sync
-
-#### Components:
-1. **HTTP/WebSocket Client**
-   - Register client with server on startup
-   - Send transcription chunks as they're generated
-   - Handle connection drops and reconnection
-   - Libraries: `requests`, `websockets`
-
-2. **Configuration System**
-   - Config file for server URL, API keys, user settings
-   - Model preferences (size, language)
-   - Audio input settings
-   - Format: YAML or JSON
-
-3. **Status Monitoring**
-   - Connection status indicator
-   - Transcription queue health
-   - Error handling and logging
-
-#### Tasks:
-- [ ] Add "Enable Server Sync" toggle to GUI
-- [ ] Add server URL configuration field in settings
-- [ ] Implement WebSocket client for sending transcriptions
-- [ ] Add configuration file support (YAML/JSON)
-- [ ] Create connection management with auto-reconnect
-- [ ] Add local logging and error handling
-- [ ] Add server connection status indicator to GUI
-- [ ] Allow app to function normally if server is unavailable
-
----
-
-### Phase 4: Web Stream Interface (OBS Integration)
-
-**Objective**: Create a web page that displays synchronized transcriptions for OBS
-
-#### Components:
-1. **Web Frontend**
-   - HTML/CSS/JavaScript page for displaying transcriptions
-   - Responsive design with customizable styling
-   - Auto-scroll with configurable retention window
-   - Libraries: Vanilla JS or lightweight framework (Alpine.js, htmx)
-
-2. **Styling Options**
-   - Customizable fonts, colors, sizes
-   - Background transparency for OBS chroma key
-   - User name/ID display options
-   - Timestamp display (optional)
-
-3. **Display Modes**
-   - Scrolling captions (like live TV captions)
-   - Multi-user panel view (separate sections per user)
-   - Overlay mode (minimal UI for transparency)
-
-#### Tasks:
-- [ ] Create HTML template for transcription display
-- [ ] Implement WebSocket client in JavaScript
-- [ ] Add CSS styling with OBS-friendly transparency
-- [ ] Create customization controls (URL parameters or UI)
-- [ ] Test with OBS browser source
-- [ ] Add configurable retention/scroll behavior
-
----
-
-### Phase 5: Advanced Features
-
-**Objective**: Enhance functionality and user experience
-
-#### Features:
-1. **Language Detection**
-   - Auto-detect spoken language
-   - Multi-language support in single stream
-   - Language selector in GUI
-
-2. **Speaker Diarization** (Optional)
-   - Identify different speakers
-   - Label transcriptions by speaker
-   - Useful for multi-host streams
-
-3. **Profanity Filtering**
-   - Optional word filtering/replacement
-   - Customizable filter lists
-   - Toggle in GUI settings
-
-4. **Advanced Noise Profiles**
-   - Save and load custom noise profiles
-   - Adaptive noise suppression
-   - Different profiles for different environments
-
-5. **Export Functionality**
-   - Save transcriptions in multiple formats (TXT, SRT, VTT, JSON)
-   - Export button in GUI
-   - Automatic session saving
-
-6. **Hotkey Support**
-   - Global hotkeys to start/stop transcription
-   - Mute/unmute hotkey
-   - Quick save hotkey
-
-7. **Docker Support**
-   - Containerized server deployment
-   - Docker Compose for easy multi-component setup
-   - Pre-built images for easy deployment
-
-8. **Themes and Customization**
-   - Dark/light theme toggle
-   - Customizable font sizes and colors for display
-   - OBS-friendly transparent overlay mode
-
-#### Tasks:
-- [ ] Add language detection and multi-language support
-- [ ] Implement speaker diarization
-- [ ] Create optional profanity filter
-- [ ] Add export functionality (SRT, VTT, plain text, JSON)
-- [ ] Implement global hotkey support
-- [ ] Create Docker containers for server component
-- [ ] Add theme customization options
-- [ ] Create advanced noise profile management
-
----
-
-## Technology Stack
-
-### Local Client:
-- **Python 3.9+**
-- **GUI**: PyQt6 / CustomTkinter / tkinter
-- **Audio**: PyAudio / sounddevice
-- **Noise Suppression**: noisereduce / rnnoise-python
-- **VAD**: webrtcvad
-- **ML Framework**: PyTorch (for Whisper)
-- **Transcription**: openai-whisper / faster-whisper
-- **Networking**: websockets, requests (optional for server sync)
-- **Config**: PyYAML / json
-
-### Server:
-- **Backend**: FastAPI / Flask
-- **WebSocket**: python-websockets / FastAPI WebSockets
-- **Server**: Uvicorn / Gunicorn
-- **Database** (optional): SQLite / PostgreSQL
-- **CORS**: fastapi-cors
-
-### Web Interface:
-- **Frontend**: HTML5, CSS3, JavaScript (ES6+)
-- **Real-time**: WebSocket API
-- **Styling**: CSS Grid/Flexbox for layout
-
----
+See [config/default_config.yaml](config/default_config.yaml) for all available options.
 
 ## Project Structure
 
 ```
 local-transcription/
- client/                      # Local transcription client
-    __init__.py
-    audio_capture.py         # Audio input handling
-    transcription_engine.py  # Whisper integration
-    network_client.py        # Server communication
-    config.py                # Configuration management
-    main.py                  # Client entry point
- server/                      # Centralized web server
-    __init__.py
-    api.py                   # FastAPI routes
-    websocket_handler.py     # WebSocket management
-    models.py                # Data models
-    database.py              # Optional DB layer
-    main.py                  # Server entry point
- web/                         # Web stream interface
-    index.html               # OBS browser source page
-    styles.css               # Customizable styling
-    app.js                   # WebSocket client & UI logic
- config/
-    client_config.example.yaml
-    server_config.example.yaml
- tests/
-    test_audio.py
-    test_transcription.py
-    test_server.py
- requirements.txt             # Python dependencies
- README.md
- main.py                      # Combined launcher (optional)
+├── src/                             # Svelte 5 frontend (Tauri UI)
+│   ├── App.svelte                   # Main app shell
+│   ├── lib/components/              # UI components
+│   │   ├── Header.svelte
+│   │   ├── StatusBar.svelte
+│   │   ├── Controls.svelte
+│   │   ├── TranscriptionDisplay.svelte
+│   │   └── Settings.svelte
+│   └── lib/stores/                  # Reactive state management
+│       ├── backend.ts               # WebSocket + REST API client
+│       ├── config.ts                # App configuration
+│       └── transcriptions.ts        # Transcription data
+├── src-tauri/                       # Tauri v2 Rust shell
+│   ├── src/main.rs
+│   └── tauri.conf.json
+├── backend/                         # Headless Python backend (sidecar)
+│   ├── app_controller.py            # Orchestration logic (engine, sync, config)
+│   ├── api_server.py                # FastAPI REST + WebSocket control API
+│   └── main_headless.py             # Headless entry point
+├── client/                          # Core transcription modules
+│   ├── audio_capture.py             # Audio input handling
+│   ├── transcription_engine_realtime.py  # RealtimeSTT / Whisper
+│   ├── deepgram_transcription.py    # Deepgram cloud transcription
+│   ├── noise_suppression.py         # VAD and noise reduction
+│   ├── device_utils.py              # CPU/GPU/MPS detection
+│   ├── config.py                    # Configuration management
+│   ├── server_sync.py               # Multi-user server client
+│   └── update_checker.py            # Auto-update functionality
+├── gui/                             # Legacy PySide6/Qt GUI
+│   ├── main_window_qt.py
+│   ├── settings_dialog_qt.py
+│   └── transcription_display_qt.py
+├── server/                          # Web servers
+│   ├── web_display.py               # Local FastAPI server for OBS
+│   └── nodejs/                      # Multi-user sync server
+├── .gitea/workflows/                # CI/CD
+│   ├── release.yml                  # Tauri app builds (all platforms)
+│   └── build-sidecar.yml            # Python sidecar builds (CUDA + CPU)
+├── config/
+│   └── default_config.yaml          # Default settings template
+├── main.py                          # Legacy GUI entry point
+├── main_cli.py                      # CLI version (for testing)
+├── local-transcription.spec         # PyInstaller config (legacy, with PySide6)
+├── local-transcription-headless.spec # PyInstaller config (headless sidecar)
+├── pyproject.toml                   # Python dependencies
+└── package.json                     # Node.js / Tauri dependencies
 ```
 
----
+## Technology Stack
 
-## Installation (Planned)
+### Frontend (Tauri)
+- **Tauri v2** — Native cross-platform shell (Rust)
+- **Svelte 5** — Reactive UI framework (TypeScript)
+- **Vite** — Frontend build tool
 
-### Prerequisites:
-- Python 3.9 or higher
-- CUDA-capable GPU (optional, for GPU acceleration)
-- FFmpeg (required by Whisper)
+### Backend (Python Sidecar)
+- **Python 3.9+**
+- **FastAPI + Uvicorn** — REST API and WebSocket server
+- **RealtimeSTT** — Real-time speech-to-text with advanced VAD
+- **faster-whisper** — Optimized Whisper model inference (CTranslate2)
+- **PyTorch** — ML framework (CUDA-enabled builds available)
+- **sounddevice** — Cross-platform audio capture
+- **webrtcvad + silero_vad** — Voice activity detection
 
-### Steps:
+### Multi-User Server (Optional)
+- **Node.js + Express + WebSocket** — Real-time sync server
 
-1. **Clone the repository**
-   ```bash
-   git clone <repository-url>
-   cd local-transcription
-   ```
+### Build & CI/CD
+- **PyInstaller** — Python sidecar packaging
+- **Tauri CLI** — App bundling (.msi, .dmg, .deb, .rpm, .AppImage)
+- **Gitea Actions** — Automated cross-platform builds
+- **uv** — Fast Python package manager
 
-2. **Install dependencies**
-   ```bash
-   pip install -r requirements.txt
-   ```
+## CI/CD
 
-3. **Download Whisper models**
-   ```bash
-   # Models will be auto-downloaded on first run
-   # Or manually download:
-   python -c "import whisper; whisper.load_model('base')"
-   ```
+Two Gitea Actions workflows in `.gitea/workflows/`:
 
-4. **Configure client**
-   ```bash
-   cp config/client_config.example.yaml config/client_config.yaml
-   # Edit config/client_config.yaml with your settings
-   ```
+| Workflow | Trigger | Produces |
+|----------|---------|----------|
+| `release.yml` | Push to `main` | Tauri app installers for all platforms |
+| `build-sidecar.yml` | Changes to `client/`, `server/`, `backend/`, or `pyproject.toml` | Python sidecar zips (CUDA + CPU) |
 
-5. **Run the server** (one instance)
-   ```bash
-   python server/main.py
-   ```
+Both workflows require a `BUILD_TOKEN` secret in the repo settings (Gitea API token with release write access).
 
-6. **Run the client** (on each user's machine)
-   ```bash
-   python client/main.py
-   ```
+### Release Artifacts
 
-7. **Add to OBS**
-   - Add a Browser Source
-   - URL: `http://<server-ip>:8000/stream`
-   - Set width/height as needed
-   - Check "Shutdown source when not visible" for performance
+| Platform | App Installer | Sidecar (CUDA) | Sidecar (CPU) |
+|----------|--------------|----------------|---------------|
+| Linux x86_64 | `.deb`, `.rpm`, `.AppImage` | `sidecar-linux-x86_64-cuda.zip` | `sidecar-linux-x86_64-cpu.zip` |
+| Windows x86_64 | `.msi`, `-setup.exe` | `sidecar-windows-x86_64-cuda.zip` | `sidecar-windows-x86_64-cpu.zip` |
+| macOS ARM64 | `.dmg` | — | `sidecar-macos-aarch64-cpu.zip` |
 
----
+## System Requirements
 
-## Configuration (Planned)
+### Minimum
+- 4GB RAM
+- Any modern CPU
 
-### Client Configuration:
-```yaml
-user:
-  name: "Streamer1"          # Display name for transcriptions
-  id: "unique-user-id"       # Optional unique identifier
+### Recommended (for local real-time transcription)
+- 8GB+ RAM
+- NVIDIA GPU with CUDA support (for GPU acceleration)
 
-audio:
-  input_device: "default"    # or specific device index
-  sample_rate: 16000
-  chunk_duration: 2.0        # seconds
+### For Building
+- **Tauri app**: Node.js 20+, Rust stable, platform SDK (see [Tauri prerequisites](https://tauri.app/start/prerequisites/))
+- **Python sidecar**: Python 3.9+, uv, PyInstaller
+- **Linux**: `libgtk-3-dev`, `libwebkit2gtk-4.1-dev`, `libappindicator3-dev`, `librsvg2-dev`, `patchelf`
+- **Windows**: Visual Studio Build Tools, WebView2
+- **macOS**: Xcode Command Line Tools
 
-noise_suppression:
-  enabled: true              # Enable/disable noise reduction
-  strength: 0.7              # 0.0 to 1.0 - reduction strength
-  method: "noisereduce"      # "noisereduce" or "rnnoise"
+## Troubleshooting
 
-transcription:
-  model: "base"              # tiny, base, small, medium, large
-  device: "cuda"             # cpu, cuda, mps
-  language: "en"             # or "auto" for detection
-  task: "transcribe"         # or "translate"
+### Model Loading Issues
+- Models download automatically on first use to `~/.cache/huggingface/`
+- First run requires internet connection
+- Check disk space (models range from 75MB to 3GB)
 
-processing:
-  use_vad: true              # Voice Activity Detection
-  min_confidence: 0.5        # Minimum transcription confidence
-
-server_sync:
-  enabled: false             # Enable multi-user server sync
-  url: "ws://localhost:8000" # Server URL (when enabled)
-  api_key: ""                # Optional API key
-
-display:
-  show_timestamps: true      # Show timestamps in local display
-  max_lines: 100             # Maximum lines to keep in display
-  font_size: 12              # GUI font size
+### Audio Device Issues
+```bash
+# List available audio devices
+uv run python main_cli.py --list-devices
 ```
+- Ensure microphone permissions are granted (especially on macOS)
+- Try different device indices in settings
 
-### Server Configuration:
-```yaml
-server:
-  host: "0.0.0.0"
-  port: 8000
-  api_key_required: false
-
-stream:
-  max_clients: 10
-  buffer_size: 100         # messages to buffer
-  retention_time: 300      # seconds
-
-database:
-  enabled: false
-  path: "transcriptions.db"
+### GPU Not Detected
+```bash
+# Check CUDA availability
+uv run python -c "import torch; print(torch.cuda.is_available())"
 ```
+- Install NVIDIA drivers (CUDA toolkit is bundled in CUDA sidecar builds)
+- The app automatically falls back to CPU if no GPU is available
 
----
+### Web Server Port Conflicts
+- Default port is 8080; the app tries ports 8080-8084 automatically
+- Change in settings or edit config file
+- Check for conflicts: `lsof -i :8080` (Linux/macOS) or `netstat -ano | findstr :8080` (Windows)
 
-## Roadmap
+## Use Cases
 
-- [x] Project planning and architecture design
-- [ ] Phase 1: Standalone desktop application with GUI
-- [ ] Phase 2: Web server and sync system (optional multi-user mode)
-- [ ] Phase 3: Client-server communication (optional)
-- [ ] Phase 4: Web stream interface for OBS (optional)
-- [ ] Phase 5: Advanced features (hotkeys, themes, Docker, etc.)
-
----
+- **Live Streaming Captions**: Add real-time captions to your Twitch/YouTube streams
+- **Multi-Language Translation**: Multiple translators transcribing in different languages
+- **Accessibility**: Provide captions for hearing-impaired viewers
+- **Podcast Recording**: Real-time transcription for multi-host shows
+- **Gaming Commentary**: Track who said what in multiplayer sessions
 
 ## Contributing
 
-Contributions are welcome! Please feel free to submit issues or pull requests.
-
----
+Contributions are welcome! Please feel free to submit issues or pull requests at the [repository](https://repo.anhonesthost.net/streamer-tools/local-transcription).
 
 ## License
 
-[Choose appropriate license - MIT, Apache 2.0, etc.]
-
----
+MIT License
 
 ## Acknowledgments
 
-- OpenAI Whisper for the excellent speech recognition model
-- The streaming community for inspiration and use cases
+- [OpenAI Whisper](https://github.com/openai/whisper) for the speech recognition model
+- [RealtimeSTT](https://github.com/KoljaB/RealtimeSTT) for real-time transcription capabilities
+- [faster-whisper](https://github.com/guillaumekln/faster-whisper) for optimized inference
+- [Tauri](https://tauri.app/) for the cross-platform desktop framework
+- [Deepgram](https://deepgram.com/) for cloud transcription API

backend/__init__.py

@@ -0,0 +1 @@
+"""Backend package for headless transcription service."""

backend/api_server.py

@@ -0,0 +1,335 @@
+"""FastAPI control API server for the headless transcription backend.
+
+Extends the existing OBS display server with REST endpoints and a
+control WebSocket channel so that a Tauri (or any other) frontend
+can drive the application.
+"""
+
+import asyncio
+import json
+from datetime import datetime
+from typing import List, Optional
+
+from fastapi import FastAPI, WebSocket, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+
+from backend.app_controller import AppController
+
+
+# ── Request / Response Models ──────────────────────────────────────
+
+class ConfigUpdate(BaseModel):
+    """Batch config update payload. Keys use dot-notation."""
+    settings: dict  # e.g. {"user.name": "Alice", "transcription.model": "small.en"}
+
+
+class LoginRequest(BaseModel):
+    email: str
+    password: str
+    server_url: str
+
+
+class RegisterRequest(BaseModel):
+    email: str
+    password: str
+    server_url: str
+
+
+class SkipVersionRequest(BaseModel):
+    version: str
+
+
+class SaveFileRequest(BaseModel):
+    path: str
+    text: str
+
+
+# ── API Server ─────────────────────────────────────────────────────
+
+class APIServer:
+    """Wraps AppController with a FastAPI application exposing control endpoints."""
+
+    def __init__(self, controller: AppController):
+        self.controller = controller
+        self.control_connections: List[WebSocket] = []
+
+        self.app = FastAPI(title="Local Transcription API", version="1.0.0")
+
+        # Allow Tauri webview origin
+        self.app.add_middleware(
+            CORSMiddleware,
+            allow_origins=["*"],  # Tauri uses tauri://localhost or https://tauri.localhost
+            allow_credentials=True,
+            allow_methods=["*"],
+            allow_headers=["*"],
+        )
+
+        self._setup_routes()
+        self._wire_controller_callbacks()
+
+    def _wire_controller_callbacks(self):
+        """Wire AppController callbacks to broadcast over /ws/control."""
+        original_state_cb = self.controller.on_state_changed
+
+        def on_state_changed(state: str, message: str):
+            if original_state_cb:
+                original_state_cb(state, message)
+            self._broadcast_control({"type": "state_changed", "state": state, "message": message})
+
+        self.controller.on_state_changed = on_state_changed
+
+        def on_transcription(data: dict):
+            self._broadcast_control({"type": "transcription", **data})
+
+        self.controller.on_transcription = on_transcription
+
+        def on_preview(data: dict):
+            self._broadcast_control({"type": "preview", **data})
+
+        self.controller.on_preview = on_preview
+
+        def on_error(msg: str):
+            self._broadcast_control({"type": "error", "message": msg})
+
+        self.controller.on_error = on_error
+
+        def on_credits_low(seconds: int):
+            self._broadcast_control({"type": "credits_low", "seconds_remaining": seconds})
+
+        self.controller.on_credits_low = on_credits_low
+
+    def set_event_loop(self, loop: asyncio.AbstractEventLoop):
+        """Set the event loop used for broadcasting (call from uvicorn startup)."""
+        self._event_loop = loop
+
+    def _broadcast_control(self, data: dict):
+        """Send a message to all connected /ws/control clients."""
+        if not self.control_connections:
+            return
+
+        loop = getattr(self, '_event_loop', None)
+        if loop is None:
+            return
+
+        message = json.dumps(data)
+        disconnected = []
+
+        for ws in self.control_connections:
+            try:
+                asyncio.run_coroutine_threadsafe(
+                    ws.send_text(message),
+                    loop,
+                )
+            except Exception:
+                disconnected.append(ws)
+
+        for ws in disconnected:
+            self.control_connections.remove(ws)
+
+    def _setup_routes(self):
+        """Register all API routes."""
+        app = self.app
+        ctrl = self.controller
+
+        @app.on_event("startup")
+        async def on_startup():
+            self.set_event_loop(asyncio.get_event_loop())
+
+        # ── Status ─────────────────────────────────────────────
+
+        @app.get("/api/status")
+        async def get_status():
+            return ctrl.get_status()
+
+        @app.get("/api/version")
+        async def get_version():
+            from version import __version__
+            return {"version": __version__}
+
+        # ── Transcription Control ──────────────────────────────
+
+        @app.post("/api/start")
+        async def start_transcription():
+            success, message = ctrl.start_transcription()
+            if not success:
+                raise HTTPException(status_code=400, detail=message)
+            return {"status": "ok", "message": message}
+
+        @app.post("/api/stop")
+        async def stop_transcription():
+            success, message = ctrl.stop_transcription()
+            if not success:
+                raise HTTPException(status_code=400, detail=message)
+            return {"status": "ok", "message": message}
+
+        @app.post("/api/clear")
+        async def clear_transcriptions():
+            count = ctrl.clear_transcriptions()
+            return {"status": "ok", "cleared": count}
+
+        @app.get("/api/transcriptions")
+        async def get_transcriptions():
+            show_timestamps = ctrl.config.get('display.show_timestamps', True)
+            return {
+                "count": len(ctrl.transcriptions),
+                "text": ctrl.get_transcriptions_text(include_timestamps=show_timestamps),
+                "items": [
+                    {
+                        "text": r.text,
+                        "user_name": r.user_name,
+                        "timestamp": r.timestamp.strftime("%H:%M:%S") if r.timestamp else None,
+                    }
+                    for r in ctrl.transcriptions
+                ],
+            }
+
+        @app.post("/api/save-file")
+        async def save_file(req: SaveFileRequest):
+            """Save text to a file (used by Tauri frontend after dialog)."""
+            from pathlib import Path
+            try:
+                Path(req.path).write_text(req.text, encoding="utf-8")
+                return {"status": "ok", "path": req.path}
+            except Exception as e:
+                raise HTTPException(status_code=500, detail=str(e))
+
+        # ── Configuration ──────────────────────────────────────
+
+        @app.get("/api/config")
+        async def get_config():
+            return ctrl.config.config
+
+        @app.put("/api/config")
+        async def update_config(update: ConfigUpdate):
+            engine_reloaded, message = ctrl.apply_settings(update.settings)
+            return {
+                "status": "ok",
+                "message": message,
+                "engine_reloaded": engine_reloaded,
+            }
+
+        # ── Devices ────────────────────────────────────────────
+
+        @app.get("/api/audio-devices")
+        async def get_audio_devices():
+            return {"devices": ctrl.get_audio_devices()}
+
+        @app.get("/api/compute-devices")
+        async def get_compute_devices():
+            return {"devices": ctrl.get_compute_devices()}
+
+        # ── Engine ─────────────────────────────────────────────
+
+        @app.post("/api/reload-engine")
+        async def reload_engine():
+            success, message = ctrl.reload_engine()
+            if not success:
+                raise HTTPException(status_code=500, detail=message)
+            return {"status": "ok", "message": message}
+
+        # ── Updates ────────────────────────────────────────────
+
+        @app.get("/api/check-update")
+        async def check_update():
+            return ctrl.check_for_updates()
+
+        @app.post("/api/skip-version")
+        async def skip_version(req: SkipVersionRequest):
+            ctrl.skip_version(req.version)
+            return {"status": "ok"}
+
+        # ── Managed Mode Auth Proxy ────────────────────────────
+
+        @app.post("/api/login")
+        async def login(req: LoginRequest):
+            """Proxy login to the transcription proxy server."""
+            import requests as http_requests
+            try:
+                resp = http_requests.post(
+                    f"{req.server_url}/api/auth/login",
+                    json={"email": req.email, "password": req.password},
+                    timeout=10,
+                )
+                if resp.status_code == 200:
+                    data = resp.json()
+                    ctrl.config.set('remote.auth_token', data.get('token', ''))
+                    ctrl.config.set('remote.server_url', req.server_url)
+                    return {"status": "ok", "token": data.get('token', '')}
+                else:
+                    raise HTTPException(status_code=resp.status_code, detail=resp.text)
+            except http_requests.RequestException as e:
+                raise HTTPException(status_code=502, detail=str(e))
+
+        @app.post("/api/register")
+        async def register(req: RegisterRequest):
+            """Proxy registration to the transcription proxy server."""
+            import requests as http_requests
+            try:
+                resp = http_requests.post(
+                    f"{req.server_url}/api/auth/register",
+                    json={"email": req.email, "password": req.password},
+                    timeout=10,
+                )
+                if resp.status_code in (200, 201):
+                    return {"status": "ok", "data": resp.json()}
+                else:
+                    raise HTTPException(status_code=resp.status_code, detail=resp.text)
+            except http_requests.RequestException as e:
+                raise HTTPException(status_code=502, detail=str(e))
+
+        @app.get("/api/balance")
+        async def get_balance():
+            """Proxy balance check to the transcription proxy server."""
+            import requests as http_requests
+            server_url = ctrl.config.get('remote.server_url', '')
+            token = ctrl.config.get('remote.auth_token', '')
+            if not server_url or not token:
+                raise HTTPException(status_code=400, detail="Not logged in to managed service")
+            try:
+                resp = http_requests.get(
+                    f"{server_url}/api/billing/balance",
+                    headers={"Authorization": f"Bearer {token}"},
+                    timeout=10,
+                )
+                if resp.status_code == 200:
+                    return resp.json()
+                else:
+                    raise HTTPException(status_code=resp.status_code, detail=resp.text)
+            except http_requests.RequestException as e:
+                raise HTTPException(status_code=502, detail=str(e))
+
+        # ── Control WebSocket ──────────────────────────────────
+
+        @app.websocket("/ws/control")
+        async def websocket_control(websocket: WebSocket):
+            """WebSocket channel for real-time state and transcription push."""
+            await websocket.accept()
+            self.control_connections.append(websocket)
+
+            # Send current status on connect
+            try:
+                await websocket.send_json({
+                    "type": "state_changed",
+                    "state": ctrl.state,
+                    "message": "Connected",
+                })
+            except Exception:
+                pass
+
+            try:
+                while True:
+                    # Keep alive -- client sends pings
+                    await websocket.receive_text()
+            except Exception:
+                if websocket in self.control_connections:
+                    self.control_connections.remove(websocket)
+
+        # ── Mount the existing OBS display routes ──────────────
+        # The OBS display (GET / and /ws) is handled by the
+        # TranscriptionWebServer which shares the same Uvicorn
+        # instance. We mount it as a sub-application so the
+        # existing OBS URLs continue to work.
+
+        if ctrl.web_server:
+            app.mount("/obs", ctrl.web_server.app)

backend/app_controller.py

@@ -0,0 +1,749 @@
+"""Headless application controller for transcription backend.
+
+Extracts orchestration logic from gui/main_window_qt.py into a
+Qt-free class that manages engine lifecycle, web server, server sync,
+and configuration -- all accessible via callbacks instead of Qt signals.
+"""
+
+import asyncio
+import time
+from datetime import datetime
+from pathlib import Path
+from threading import Thread, Lock
+from typing import Callable, List, Optional
+
+import sys
+
+# Add project root to path
+sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
+
+from client.config import Config
+from client.models import TranscriptionResult
+from client.deepgram_transcription import DeepgramTranscriptionEngine
+from client.server_sync import ServerSyncClient
+from server.web_display import TranscriptionWebServer
+from version import __version__
+
+# Heavy imports (torch, RealtimeSTT, faster-whisper) are deferred so
+# the cloud-only sidecar build can exclude them entirely.
+# Imported lazily in _initialize_engine() when remote.mode == "local".
+RealtimeTranscriptionEngine = None
+DeviceManager = None
+
+
+class AppState:
+    """Enum-like class for application states."""
+    INITIALIZING = "initializing"
+    READY = "ready"
+    TRANSCRIBING = "transcribing"
+    RELOADING = "reloading"
+    ERROR = "error"
+
+
+class WebServerThread(Thread):
+    """Thread for running the web server."""
+
+    def __init__(self, web_server: TranscriptionWebServer):
+        super().__init__(daemon=True)
+        self.web_server = web_server
+        self.loop: Optional[asyncio.AbstractEventLoop] = None
+        self.error: Optional[Exception] = None
+
+    def run(self):
+        try:
+            self.loop = asyncio.new_event_loop()
+            asyncio.set_event_loop(self.loop)
+            self.loop.run_until_complete(self.web_server.start())
+        except Exception as e:
+            self.error = e
+            print(f"ERROR: Web server failed to start: {e}")
+
+
+class EngineInitThread(Thread):
+    """Thread for initializing the transcription engine without blocking."""
+
+    def __init__(self, engine, on_complete: Callable[[bool, str], None]):
+        super().__init__(daemon=True)
+        self.engine = engine
+        self.on_complete = on_complete
+
+    def run(self):
+        try:
+            success = self.engine.initialize()
+            if success:
+                self.on_complete(True, "Engine initialized successfully")
+            else:
+                self.on_complete(False, "Failed to initialize engine")
+        except Exception as e:
+            self.on_complete(False, f"Error initializing engine: {e}")
+
+
+class AppController:
+    """Headless controller managing the transcription application lifecycle.
+
+    This replaces the orchestration logic that previously lived in MainWindow.
+    It manages:
+    - Transcription engine lifecycle (init, start, stop, reload)
+    - Web server for OBS display
+    - Server sync for multi-user mode
+    - Configuration
+    - Update checking
+
+    All state changes are communicated via callbacks, making it UI-agnostic.
+    """
+
+    def __init__(self, config: Optional[Config] = None):
+        self.config = config or Config()
+
+        # DeviceManager is only needed for local Whisper mode.
+        # Lazy-import to keep the cloud-only sidecar lightweight.
+        global DeviceManager
+        if DeviceManager is None:
+            try:
+                from client.device_utils import DeviceManager as _DM
+                DeviceManager = _DM
+            except ImportError:
+                DeviceManager = None
+
+        self.device_manager = DeviceManager() if DeviceManager else None
+        self.is_cloud_only = DeviceManager is None
+
+        # If this is the cloud-only sidecar and mode is still "local",
+        # auto-switch to "byok" so the engine doesn't try to load Whisper.
+        if self.is_cloud_only and self.config.get('remote.mode', 'local') == 'local':
+            self.config.set('remote.mode', 'byok')
+
+        # State
+        self._state = AppState.INITIALIZING
+        self._state_lock = Lock()
+        self.is_transcribing = False
+
+        # Engine
+        self.transcription_engine = None
+        self._engine_init_thread: Optional[EngineInitThread] = None
+        self.current_model_size: Optional[str] = None
+        self.current_device_config: Optional[str] = None
+
+        # Web server
+        self.web_server: Optional[TranscriptionWebServer] = None
+        self.web_server_thread: Optional[WebServerThread] = None
+        self.actual_web_port: Optional[int] = None
+
+        # Server sync
+        self.server_sync_client: Optional[ServerSyncClient] = None
+
+        # Transcription storage
+        self.transcriptions: List[TranscriptionResult] = []
+
+        # Callbacks for state notifications (set by the frontend / API server)
+        self.on_state_changed: Optional[Callable[[str, str], None]] = None  # (state, message)
+        self.on_transcription: Optional[Callable[[dict], None]] = None  # final transcription
+        self.on_preview: Optional[Callable[[dict], None]] = None  # realtime preview
+        self.on_error: Optional[Callable[[str], None]] = None
+        self.on_credits_low: Optional[Callable[[int], None]] = None
+
+    @property
+    def state(self) -> str:
+        with self._state_lock:
+            return self._state
+
+    def _set_state(self, state: str, message: str = ""):
+        with self._state_lock:
+            self._state = state
+        if self.on_state_changed:
+            self.on_state_changed(state, message)
+
+    # ── Lifecycle ──────────────────────────────────────────────────
+
+    def initialize(self):
+        """Initialize the web server and transcription engine.
+
+        Call this once at startup. Non-blocking -- engine init happens
+        in a background thread.
+        """
+        self._set_state(AppState.INITIALIZING, "Starting web server...")
+        self._start_web_server()
+
+        self._set_state(AppState.INITIALIZING, "Loading transcription engine...")
+        self._initialize_engine()
+
+    def shutdown(self):
+        """Gracefully shut down all components."""
+        # Stop transcription
+        if self.is_transcribing:
+            self.stop_transcription()
+
+        # Stop web server
+        if self.web_server_thread and self.web_server_thread.is_alive():
+            try:
+                if self.web_server_thread.loop:
+                    self.web_server_thread.loop.call_soon_threadsafe(
+                        self.web_server_thread.loop.stop
+                    )
+            except Exception as e:
+                print(f"Warning: Error stopping web server: {e}")
+
+        # Stop transcription engine
+        if self.transcription_engine:
+            try:
+                self.transcription_engine.stop()
+            except Exception as e:
+                print(f"Warning: Error stopping engine: {e}")
+
+        # Wait for engine init thread
+        if self._engine_init_thread and self._engine_init_thread.is_alive():
+            self._engine_init_thread.join(timeout=5)
+
+    # ── Web Server ─────────────────────────────────────────────────
+
+    def _start_web_server(self):
+        """Start the FastAPI web server for OBS display."""
+        try:
+            host = self.config.get('web_server.host', '127.0.0.1')
+            port = self.config.get('web_server.port', 8080)
+
+            # Gather display settings
+            ws_kwargs = self._get_web_server_kwargs(host, port)
+
+            # Try up to 5 ports
+            ports_to_try = [port] + [port + i for i in range(1, 5)]
+
+            for try_port in ports_to_try:
+                print(f"Attempting to start web server at http://{host}:{try_port}")
+                ws_kwargs['port'] = try_port
+
+                self.web_server = TranscriptionWebServer(**ws_kwargs)
+                self.web_server_thread = WebServerThread(self.web_server)
+                self.web_server_thread.start()
+
+                time.sleep(0.5)
+
+                if self.web_server_thread.error:
+                    error_str = str(self.web_server_thread.error)
+                    if "address already in use" in error_str.lower() or "errno 98" in error_str.lower():
+                        print(f"Port {try_port} is in use, trying next port...")
+                        self.web_server = None
+                        self.web_server_thread = None
+                        continue
+                    else:
+                        print(f"Web server failed to start: {self.web_server_thread.error}")
+                        self.web_server = None
+                        self.web_server_thread = None
+                        break
+                else:
+                    self.actual_web_port = try_port
+                    print(f"Web server started at http://{host}:{try_port}")
+                    return
+
+            print(f"WARNING: Could not start web server on any port")
+
+        except Exception as e:
+            print(f"ERROR: Failed to initialize web server: {e}")
+            self.web_server = None
+            self.web_server_thread = None
+
+    def _get_web_server_kwargs(self, host: str, port: int) -> dict:
+        """Build kwargs dict for TranscriptionWebServer from config."""
+        return dict(
+            host=host,
+            port=port,
+            show_timestamps=self.config.get('display.show_timestamps', True),
+            fade_after_seconds=self.config.get('display.fade_after_seconds', 10),
+            max_lines=self.config.get('display.max_lines', 50),
+            font_family=self.config.get('display.font_family', 'Arial'),
+            font_size=self.config.get('display.font_size', 16),
+            fonts_dir=self.config.fonts_dir,
+            font_source=self.config.get('display.font_source', 'System Font'),
+            websafe_font=self.config.get('display.websafe_font', 'Arial'),
+            google_font=self.config.get('display.google_font', 'Roboto'),
+            user_color=self.config.get('display.user_color', '#4CAF50'),
+            text_color=self.config.get('display.text_color', '#FFFFFF'),
+            background_color=self.config.get('display.background_color', '#000000B3'),
+        )
+
+    # ── Transcription Engine ───────────────────────────────────────
+
+    def _initialize_engine(self):
+        """Initialize the transcription engine in a background thread."""
+        audio_device_str = self.config.get('audio.input_device', 'default')
+        audio_device = None if audio_device_str == 'default' else int(audio_device_str)
+
+        model = self.config.get('transcription.model', 'base.en')
+        language = self.config.get('transcription.language', 'en')
+        device_config = self.config.get('transcription.device', 'auto')
+        compute_type = self.config.get('transcription.compute_type', 'default')
+
+        self.current_model_size = model
+        self.current_device_config = device_config
+
+        user_name = self.config.get('user.name', 'User')
+        continuous_mode = self.config.get('transcription.continuous_mode', False)
+
+        if continuous_mode:
+            post_speech_silence = 0.15
+            min_gap = 0.0
+            min_recording = 0.3
+        else:
+            post_speech_silence = self.config.get('transcription.post_speech_silence_duration', 0.3)
+            min_gap = self.config.get('transcription.min_gap_between_recordings', 0.0)
+            min_recording = self.config.get('transcription.min_length_of_recording', 0.5)
+
+        remote_mode = self.config.get('remote.mode', 'local')
+
+        if remote_mode in ('managed', 'byok'):
+            self.transcription_engine = DeepgramTranscriptionEngine(
+                config=self.config,
+                user_name=user_name,
+                input_device_index=audio_device,
+            )
+            self.transcription_engine.set_callbacks(
+                realtime_callback=self._on_realtime_transcription,
+                final_callback=self._on_final_transcription,
+            )
+            self.transcription_engine.set_error_callback(self._on_remote_error)
+            self.transcription_engine.set_credits_low_callback(self._on_credits_low)
+        else:
+            # Lazy-import heavy local transcription dependencies
+            global RealtimeTranscriptionEngine
+            if RealtimeTranscriptionEngine is None:
+                try:
+                    from client.transcription_engine_realtime import RealtimeTranscriptionEngine as _RTE
+                    RealtimeTranscriptionEngine = _RTE
+                except ImportError:
+                    # Cloud-only sidecar -- local engine not available
+                    self._set_state(
+                        AppState.ERROR,
+                        "Local transcription not available in this build. "
+                        "Please switch to Cloud (Deepgram) mode in Settings."
+                    )
+                    return
+
+            if self.device_manager:
+                self.device_manager.set_device(device_config)
+                device = self.device_manager.get_device_for_whisper()
+            else:
+                device = "cpu"
+
+            self.transcription_engine = RealtimeTranscriptionEngine(
+                model=model,
+                device=device,
+                language=language,
+                compute_type=compute_type,
+                enable_realtime_transcription=self.config.get('transcription.enable_realtime_transcription', False),
+                realtime_model=self.config.get('transcription.realtime_model', 'tiny.en'),
+                realtime_processing_pause=self.config.get('transcription.realtime_processing_pause', 0.1),
+                silero_sensitivity=self.config.get('transcription.silero_sensitivity', 0.4),
+                silero_use_onnx=self.config.get('transcription.silero_use_onnx', True),
+                webrtc_sensitivity=self.config.get('transcription.webrtc_sensitivity', 3),
+                post_speech_silence_duration=post_speech_silence,
+                min_length_of_recording=min_recording,
+                min_gap_between_recordings=min_gap,
+                pre_recording_buffer_duration=self.config.get('transcription.pre_recording_buffer_duration', 0.2),
+                beam_size=self.config.get('transcription.beam_size', 5),
+                initial_prompt=self.config.get('transcription.initial_prompt', ''),
+                no_log_file=self.config.get('transcription.no_log_file', True),
+                input_device_index=audio_device,
+                user_name=user_name,
+            )
+            self.transcription_engine.set_callbacks(
+                realtime_callback=self._on_realtime_transcription,
+                final_callback=self._on_final_transcription,
+            )
+
+        # Start init in background thread
+        self._engine_init_thread = EngineInitThread(
+            self.transcription_engine,
+            self._on_engine_ready,
+        )
+        self._engine_init_thread.start()
+
+    def _on_engine_ready(self, success: bool, message: str):
+        """Called from EngineInitThread when engine init completes."""
+        if success:
+            remote_mode = self.config.get('remote.mode', 'local')
+            if remote_mode in ('managed', 'byok'):
+                mode_label = 'Managed' if remote_mode == 'managed' else 'BYOK'
+                device_display = f"Deepgram ({mode_label})"
+            elif self.transcription_engine:
+                actual_device = self.transcription_engine.device
+                compute_type = self.transcription_engine.compute_type
+                device_display = f"{actual_device.upper()} ({compute_type})"
+            else:
+                device_display = "Unknown"
+
+            self._set_state(AppState.READY, f"Ready | Device: {device_display}")
+        else:
+            # Cloud sidecar with no API key -- show helpful setup message
+            # instead of a scary error. The user needs to enter their key.
+            if self.is_cloud_only:
+                self._set_state(
+                    AppState.READY,
+                    "Setup needed: Open Settings > Remote Transcription > enter your Deepgram API key"
+                )
+            else:
+                self._set_state(AppState.ERROR, message)
+
+    # ── Transcription Control ──────────────────────────────────────
+
+    def start_transcription(self) -> tuple[bool, str]:
+        """Start transcription. Returns (success, message)."""
+        if self.is_transcribing:
+            return False, "Already transcribing"
+
+        if not self.transcription_engine or not self.transcription_engine.is_ready():
+            return False, "Transcription engine not ready"
+
+        try:
+            success = self.transcription_engine.start_recording()
+            if not success:
+                return False, "Failed to start recording"
+
+            # Start server sync if enabled
+            if self.config.get('server_sync.enabled', False):
+                self._start_server_sync()
+
+            self.is_transcribing = True
+            self._set_state(AppState.TRANSCRIBING, "Transcribing...")
+            return True, "Transcription started"
+
+        except Exception as e:
+            return False, f"Failed to start transcription: {e}"
+
+    def stop_transcription(self) -> tuple[bool, str]:
+        """Stop transcription. Returns (success, message)."""
+        if not self.is_transcribing:
+            return False, "Not transcribing"
+
+        try:
+            if self.transcription_engine:
+                self.transcription_engine.stop_recording()
+
+            if self.server_sync_client:
+                self.server_sync_client.stop()
+                self.server_sync_client = None
+
+            self.is_transcribing = False
+            self._set_state(AppState.READY, "Ready")
+            return True, "Transcription stopped"
+
+        except Exception as e:
+            return False, f"Failed to stop transcription: {e}"
+
+    def clear_transcriptions(self) -> int:
+        """Clear stored transcriptions. Returns count of cleared items."""
+        count = len(self.transcriptions)
+        self.transcriptions.clear()
+        return count
+
+    def get_transcriptions_text(self, include_timestamps: bool = True) -> str:
+        """Get all transcriptions as formatted text."""
+        lines = []
+        for result in self.transcriptions:
+            parts = []
+            if include_timestamps:
+                parts.append(f"[{result.timestamp.strftime('%H:%M:%S')}]")
+            if result.user_name and result.user_name.strip():
+                parts.append(f"{result.user_name}:")
+            parts.append(result.text)
+            lines.append(" ".join(parts))
+        return "\n".join(lines)
+
+    def reload_engine(self) -> tuple[bool, str]:
+        """Reload the transcription engine with current config settings."""
+        try:
+            was_transcribing = self.is_transcribing
+            if was_transcribing:
+                self.stop_transcription()
+
+            self._set_state(AppState.RELOADING, "Reloading engine...")
+
+            # Wait for any existing init thread
+            if self._engine_init_thread and self._engine_init_thread.is_alive():
+                self._engine_init_thread.join(timeout=10)
+
+            # Stop current engine
+            if self.transcription_engine:
+                try:
+                    self.transcription_engine.stop()
+                except Exception as e:
+                    print(f"Warning: Error stopping engine: {e}")
+
+            # Re-initialize
+            self._initialize_engine()
+            return True, "Engine reload initiated"
+
+        except Exception as e:
+            self._set_state(AppState.ERROR, f"Engine reload failed: {e}")
+            return False, str(e)
+
+    # ── Transcription Callbacks ────────────────────────────────────
+
+    def _on_realtime_transcription(self, result: TranscriptionResult):
+        """Handle realtime (preview) transcription."""
+        if not self.is_transcribing:
+            return
+
+        try:
+            # Broadcast to web server
+            if self.web_server and self.web_server_thread and self.web_server_thread.loop:
+                asyncio.run_coroutine_threadsafe(
+                    self.web_server.broadcast_preview(
+                        result.text, result.user_name, result.timestamp
+                    ),
+                    self.web_server_thread.loop,
+                )
+
+            # Send to server sync
+            if self.server_sync_client:
+                self.server_sync_client.send_preview(result.text, result.timestamp)
+
+            # Notify frontend
+            if self.on_preview:
+                self.on_preview({
+                    "text": result.text,
+                    "user_name": result.user_name,
+                    "timestamp": result.timestamp.strftime("%H:%M:%S") if result.timestamp else None,
+                    "is_preview": True,
+                })
+
+        except Exception as e:
+            print(f"Error handling realtime transcription: {e}")
+
+    def _on_final_transcription(self, result: TranscriptionResult):
+        """Handle final transcription."""
+        if not self.is_transcribing:
+            return
+
+        try:
+            self.transcriptions.append(result)
+
+            # Broadcast to web server
+            if self.web_server and self.web_server_thread and self.web_server_thread.loop:
+                asyncio.run_coroutine_threadsafe(
+                    self.web_server.broadcast_transcription(
+                        result.text, result.user_name, result.timestamp
+                    ),
+                    self.web_server_thread.loop,
+                )
+
+            # Send to server sync
+            if self.server_sync_client:
+                self.server_sync_client.send_transcription(
+                    result.text, result.timestamp
+                )
+
+            # Notify frontend
+            if self.on_transcription:
+                self.on_transcription({
+                    "text": result.text,
+                    "user_name": result.user_name,
+                    "timestamp": result.timestamp.strftime("%H:%M:%S") if result.timestamp else None,
+                    "is_preview": False,
+                })
+
+        except Exception as e:
+            print(f"Error handling final transcription: {e}")
+
+    def _on_remote_error(self, error_msg: str):
+        """Handle error from remote transcription service."""
+        print(f"Remote transcription error: {error_msg}")
+        if self.on_error:
+            self.on_error(error_msg)
+
+    def _on_credits_low(self, seconds_remaining: int):
+        """Handle low credits warning from proxy."""
+        if self.on_credits_low:
+            self.on_credits_low(seconds_remaining)
+
+    # ── Server Sync ────────────────────────────────────────────────
+
+    def _start_server_sync(self):
+        """Start server sync client."""
+        try:
+            url = self.config.get('server_sync.url', '')
+            if not url:
+                print("Server sync enabled but no URL configured")
+                return
+
+            room = self.config.get('server_sync.room', 'default')
+            passphrase = self.config.get('server_sync.passphrase', '')
+            user_name = self.config.get('user.name', 'User')
+            fonts_dir = self.config.fonts_dir
+
+            font_source = self.config.get('display.font_source', 'System Font')
+            if font_source == "System Font":
+                font_source = "None"
+
+            self.server_sync_client = ServerSyncClient(
+                url=url,
+                room=room,
+                passphrase=passphrase,
+                user_name=user_name,
+                fonts_dir=fonts_dir,
+                font_source=font_source,
+                websafe_font=self.config.get('display.websafe_font', '') or None,
+                google_font=self.config.get('display.google_font', '') or None,
+                custom_font_file=self.config.get('display.custom_font_file', '') or None,
+                user_color=self.config.get('display.user_color', '#4CAF50'),
+                text_color=self.config.get('display.text_color', '#FFFFFF'),
+                background_color=self.config.get('display.background_color', '#000000B3'),
+            )
+            self.server_sync_client.start()
+
+        except Exception as e:
+            print(f"Error starting server sync: {e}")
+
+    # ── Configuration ──────────────────────────────────────────────
+
+    def apply_settings(self, new_config: Optional[dict] = None) -> tuple[bool, str]:
+        """Apply settings changes. If new_config is provided, merge it first.
+
+        Returns (engine_reload_needed, message).
+        """
+        if new_config:
+            for key, value in new_config.items():
+                self.config.set(key, value)
+
+        # Update web server display settings
+        if self.web_server:
+            self.web_server.show_timestamps = self.config.get('display.show_timestamps', True)
+            self.web_server.fade_after_seconds = self.config.get('display.fade_after_seconds', 10)
+            self.web_server.max_lines = self.config.get('display.max_lines', 50)
+            self.web_server.font_family = self.config.get('display.font_family', 'Arial')
+            self.web_server.font_size = self.config.get('display.font_size', 16)
+            self.web_server.font_source = self.config.get('display.font_source', 'System Font')
+            self.web_server.websafe_font = self.config.get('display.websafe_font', 'Arial')
+            self.web_server.google_font = self.config.get('display.google_font', 'Roboto')
+            self.web_server.user_color = self.config.get('display.user_color', '#4CAF50')
+            self.web_server.text_color = self.config.get('display.text_color', '#FFFFFF')
+            self.web_server.background_color = self.config.get('display.background_color', '#000000B3')
+
+        # Restart server sync if running
+        if self.is_transcribing and self.server_sync_client:
+            self.server_sync_client.stop()
+            self.server_sync_client = None
+            if self.config.get('server_sync.enabled', False):
+                self._start_server_sync()
+
+        # Check if model/device/remote mode changed -- any of these require
+        # a full engine reload since they change which engine class is used
+        new_model = self.config.get('transcription.model', 'base.en')
+        new_device = self.config.get('transcription.device', 'auto')
+        new_remote_mode = self.config.get('remote.mode', 'local')
+        current_remote_mode = 'local'
+        if self.transcription_engine:
+            current_remote_mode = getattr(self.transcription_engine, 'mode', 'local')
+        engine_reload_needed = (
+            self.current_model_size != new_model
+            or self.current_device_config != new_device
+            or current_remote_mode != new_remote_mode
+        )
+
+        if engine_reload_needed:
+            self.reload_engine()
+            return True, "Settings applied. Engine reloading with new model/device."
+        else:
+            return False, "Settings applied successfully."
+
+    def get_status(self) -> dict:
+        """Get current application status as a dict."""
+        host = self.config.get('web_server.host', '127.0.0.1')
+        port = self.actual_web_port or self.config.get('web_server.port', 8080)
+
+        device_info = self.device_manager.get_device_info() if self.device_manager else []
+
+        remote_mode = self.config.get('remote.mode', 'local')
+        if remote_mode in ('managed', 'byok') and self.transcription_engine:
+            mode_label = 'Managed' if remote_mode == 'managed' else 'BYOK'
+            engine_device = f"Deepgram ({mode_label})"
+        elif self.transcription_engine and hasattr(self.transcription_engine, 'device'):
+            engine_device = f"{self.transcription_engine.device.upper()} ({self.transcription_engine.compute_type})"
+        else:
+            engine_device = "Not initialized"
+
+        return {
+            "state": self.state,
+            "is_transcribing": self.is_transcribing,
+            "version": __version__,
+            "engine_device": engine_device,
+            "web_server": {
+                "host": host,
+                "port": port,
+                "url": f"http://{host}:{port}",
+                "running": self.web_server_thread is not None and self.web_server_thread.is_alive(),
+            },
+            "transcription_count": len(self.transcriptions),
+            "remote_mode": remote_mode,
+            "server_sync_enabled": self.config.get('server_sync.enabled', False),
+        }
+
+    def get_audio_devices(self) -> list[dict]:
+        """List available audio input devices."""
+        import sounddevice as sd
+        devices = []
+        try:
+            device_list = sd.query_devices()
+            for i, device in enumerate(device_list):
+                if device['max_input_channels'] > 0:
+                    devices.append({"index": i, "name": device['name']})
+        except Exception:
+            pass
+        if not devices:
+            devices = [{"index": 0, "name": "Default"}]
+        return devices
+
+    def get_compute_devices(self) -> list[dict]:
+        """List available compute devices."""
+        devices = [{"id": "auto", "name": "Auto-detect"}]
+        if self.device_manager:
+            device_info = self.device_manager.get_device_info()
+            for dev_id, dev_name in device_info:
+                devices.append({"id": dev_id, "name": dev_name})
+        else:
+            devices.append({"id": "cloud", "name": "Cloud (Deepgram)"})
+        return devices
+
+    # ── Update Checking ────────────────────────────────────────────
+
+    def check_for_updates(self) -> dict:
+        """Check for updates synchronously. Returns update info or None."""
+        from client.update_checker import UpdateChecker
+
+        gitea_url = self.config.get('updates.gitea_url', 'https://repo.anhonesthost.net')
+        owner = self.config.get('updates.owner', 'streamer-tools')
+        repo = self.config.get('updates.repo', 'local-transcription')
+
+        if not gitea_url or not owner or not repo:
+            return {"available": False, "error": "Update checking not configured"}
+
+        checker = UpdateChecker(
+            current_version=__version__,
+            gitea_url=gitea_url,
+            owner=owner,
+            repo=repo,
+        )
+
+        try:
+            release_info = checker.check_for_update()
+            self.config.set('updates.last_check', datetime.now().isoformat())
+
+            if release_info:
+                skipped = self.config.get('updates.skipped_versions', [])
+                return {
+                    "available": True,
+                    "version": release_info.version,
+                    "download_url": release_info.download_url,
+                    "release_notes": release_info.release_notes,
+                    "skipped": release_info.version in skipped,
+                }
+            else:
+                return {"available": False, "current_version": __version__}
+        except Exception as e:
+            return {"available": False, "error": str(e)}
+
+    def skip_version(self, version: str):
+        """Mark a version as skipped for update notifications."""
+        skipped = self.config.get('updates.skipped_versions', [])
+        if version not in skipped:
+            skipped.append(version)
+            self.config.set('updates.skipped_versions', skipped)

backend/main_headless.py

@@ -0,0 +1,131 @@
+#!/usr/bin/env python3
+"""Headless entry point for the Local Transcription backend.
+
+Runs the transcription engine + API server without any GUI (no PySide6).
+Designed to be launched as a Tauri sidecar or run standalone for development.
+
+Usage:
+    python -m backend.main_headless [--port PORT] [--host HOST]
+
+The backend prints the actual port to stdout as JSON on startup:
+    {"event": "ready", "port": 8080}
+
+This allows the Tauri shell to discover which port the backend bound to.
+"""
+
+import argparse
+import json
+import multiprocessing
+import os
+import signal
+import sys
+from pathlib import Path
+
+# Must be called before anything else for PyInstaller compatibility
+multiprocessing.freeze_support()
+
+if __name__ == "__main__":
+    try:
+        multiprocessing.set_start_method('spawn', force=True)
+    except RuntimeError:
+        pass
+
+# Add project root to path
+project_root = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(project_root))
+os.chdir(project_root)
+
+from client.instance_lock import InstanceLock
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Local Transcription headless backend")
+    parser.add_argument("--host", default="127.0.0.1", help="API server host (default: 127.0.0.1)")
+    parser.add_argument("--port", type=int, default=8080, help="API server port (default: 8080)")
+    args = parser.parse_args()
+
+    instance_lock = InstanceLock()
+    if not instance_lock.acquire():
+        print(json.dumps({"event": "error", "message": "Another instance is already running"}),
+              flush=True)
+        sys.exit(1)
+
+    def handle_shutdown(signum, frame):
+        print(json.dumps({"event": "shutdown"}), flush=True)
+        if controller:
+            controller.shutdown()
+        instance_lock.release()
+        sys.exit(0)
+
+    signal.signal(signal.SIGTERM, handle_shutdown)
+    signal.signal(signal.SIGINT, handle_shutdown)
+
+    controller = None
+
+    try:
+        from backend.app_controller import AppController
+        from backend.api_server import APIServer
+
+        # Override web server port from CLI arg
+        from client.config import Config
+        config = Config()
+        config.set('web_server.host', args.host)
+        config.set('web_server.port', args.port)
+
+        # Create controller and initialize
+        controller = AppController(config=config)
+
+        # Wire a state callback that prints the ready event
+        def on_state_changed(state, message):
+            event = {"event": "state", "state": state, "message": message}
+            print(json.dumps(event), flush=True)
+
+        controller.on_state_changed = on_state_changed
+
+        # Initialize engine + web server
+        controller.initialize()
+
+        # Create API server wrapping the controller
+        api_server = APIServer(controller)
+
+        # OBS display runs on the configured port, API server on port+1
+        obs_port = controller.actual_web_port or args.port
+        api_port = obs_port + 1
+
+        # Print ready event so Tauri can discover the API port
+        print(json.dumps({
+            "event": "ready",
+            "port": api_port,
+            "obs_port": obs_port,
+        }), flush=True)
+
+        # Run the API server (blocks)
+        import uvicorn
+        import logging
+
+        logging.getLogger("uvicorn").setLevel(logging.ERROR)
+        logging.getLogger("uvicorn.access").setLevel(logging.ERROR)
+
+        uvicorn.run(
+            api_server.app,
+            host=args.host,
+            port=api_port,
+            log_level="error",
+            access_log=False,
+        )
+
+    except KeyboardInterrupt:
+        print(json.dumps({"event": "shutdown", "reason": "keyboard_interrupt"}), flush=True)
+    except Exception as e:
+        print(json.dumps({"event": "error", "message": str(e)}), flush=True)
+        import traceback
+        traceback.print_exc()
+        sys.exit(1)
+    finally:
+        if controller:
+            controller.shutdown()
+        instance_lock.release()
+
+
+if __name__ == "__main__":
+    main()

backend/tests/conftest.py

@@ -0,0 +1,159 @@
+"""Shared fixtures for backend tests.
+
+Heavy third-party modules (torch, sounddevice, numpy, RealtimeSTT, etc.) are
+stubbed at the *sys.modules* level before any backend code is imported.  This
+lets the test suite run on a plain Python install without GPU drivers, audio
+hardware, or heavyweight ML libraries.
+"""
+
+import sys
+import types
+from pathlib import Path
+from unittest.mock import MagicMock
+
+import pytest
+
+# ── Project root on sys.path ────────────────────────────────────────
+project_root = Path(__file__).resolve().parent.parent.parent
+if str(project_root) not in sys.path:
+    sys.path.insert(0, str(project_root))
+
+
+# ── Stub heavy modules before anything imports them ─────────────────
+
+def _stub(name: str) -> types.ModuleType:
+    """Create a stub module and register it in sys.modules if not already present."""
+    if name in sys.modules:
+        return sys.modules[name]
+    mod = types.ModuleType(name)
+    sys.modules[name] = mod
+    return mod
+
+
+# numpy -- must behave like a real module for `import numpy as np`
+_np = _stub("numpy")
+_np.float32 = float
+_np.float64 = float
+_np.int16 = int
+_np.ndarray = MagicMock
+_np.array = MagicMock(return_value=MagicMock())
+_np.zeros = MagicMock(return_value=MagicMock())
+_np.frombuffer = MagicMock(return_value=MagicMock())
+
+# torch + sub-modules
+_torch = _stub("torch")
+_torch.cuda = MagicMock()
+_torch.cuda.is_available = MagicMock(return_value=False)
+_torch.backends = MagicMock()
+_torch.backends.mps = MagicMock()
+_torch.backends.mps.is_available = MagicMock(return_value=False)
+_stub("torch.cuda")
+_stub("torch.backends")
+_stub("torch.backends.mps")
+_stub("torchaudio")
+
+# sounddevice
+_sd = _stub("sounddevice")
+_sd.query_devices = MagicMock(return_value=[])
+
+# RealtimeSTT (imported by transcription_engine_realtime)
+_rtstt = _stub("RealtimeSTT")
+_rtstt.AudioToTextRecorder = MagicMock
+
+# faster_whisper (sometimes imported transitively)
+_stub("faster_whisper")
+
+# noisereduce
+_stub("noisereduce")
+
+# scipy
+_scipy = _stub("scipy")
+_stub("scipy.signal")
+_stub("scipy.io")
+_stub("scipy.io.wavfile")
+
+# webrtcvad
+_stub("webrtcvad")
+
+# openwakeword
+_stub("openwakeword")
+
+# pvporcupine
+_stub("pvporcupine")
+
+# PySide6 (should not be needed, but just in case)
+_stub("PySide6")
+_stub("PySide6.QtWidgets")
+_stub("PySide6.QtCore")
+_stub("PySide6.QtGui")
+
+# websockets
+_ws = _stub("websockets")
+_ws.connect = MagicMock
+
+# deepgram  (cloud transcription)
+_stub("deepgram")
+
+
+# ── Fixtures ────────────────────────────────────────────────────────
+
+@pytest.fixture
+def mock_config(tmp_path):
+    """Return a Config object backed by a temporary file.
+
+    This avoids touching the real user config at ~/.local-transcription/.
+    """
+    config_file = tmp_path / "test_config.yaml"
+    from client.config import Config
+
+    config = Config(config_path=str(config_file))
+    return config
+
+
+@pytest.fixture
+def controller(mock_config):
+    """Return an AppController wired to *mock_config* without starting heavy
+    subsystems (engine, web server, device manager).
+
+    The transcription engine, web server thread, and DeviceManager are all
+    replaced with lightweight mocks so the test suite can run without a GPU,
+    audio hardware, or a free network port.
+    """
+    from unittest.mock import patch
+
+    with patch("backend.app_controller.DeviceManager") as MockDM, \
+         patch("backend.app_controller.RealtimeTranscriptionEngine"), \
+         patch("backend.app_controller.DeepgramTranscriptionEngine"), \
+         patch("backend.app_controller.TranscriptionWebServer"), \
+         patch("backend.app_controller.ServerSyncClient"):
+
+        # DeviceManager stub
+        dm_instance = MagicMock()
+        dm_instance.get_device_info.return_value = [("cpu", "CPU")]
+        dm_instance.get_device_for_whisper.return_value = "cpu"
+        MockDM.return_value = dm_instance
+
+        from backend.app_controller import AppController
+
+        ctrl = AppController(config=mock_config)
+        yield ctrl
+
+
+@pytest.fixture
+def api_client(controller):
+    """Return an httpx.AsyncClient speaking ASGI to the APIServer's FastAPI app.
+
+    Usage in tests::
+
+        async def test_something(api_client):
+            resp = await api_client.get("/api/status")
+            assert resp.status_code == 200
+    """
+    from backend.api_server import APIServer
+    import httpx
+
+    api = APIServer(controller)
+
+    transport = httpx.ASGITransport(app=api.app)
+    client = httpx.AsyncClient(transport=transport, base_url="http://testserver")
+    return client

backend/tests/test_api_server.py

@@ -0,0 +1,150 @@
+"""Tests for backend.api_server.APIServer REST endpoints."""
+
+import sys
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+import pytest_asyncio
+
+# Ensure project root is on path
+project_root = Path(__file__).resolve().parent.parent.parent
+sys.path.insert(0, str(project_root))
+
+
+# ── GET /api/status ─────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_get_status(api_client):
+    resp = await api_client.get("/api/status")
+    assert resp.status_code == 200
+    data = resp.json()
+    assert "state" in data
+    assert "is_transcribing" in data
+    assert "version" in data
+    assert "web_server" in data
+
+
+# ── GET /api/config ─────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_get_config(api_client):
+    resp = await api_client.get("/api/config")
+    assert resp.status_code == 200
+    data = resp.json()
+    # The config should be a dict (the raw config mapping)
+    assert isinstance(data, dict)
+
+
+# ── PUT /api/config ─────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_put_config(api_client, controller):
+    """Updating config via PUT should persist and return success."""
+    # Patch reload_engine to avoid heavy lifting
+    controller.reload_engine = MagicMock(return_value=(True, "ok"))
+    controller.current_model_size = "base.en"
+    controller.current_device_config = "auto"
+    controller.config.set("transcription.model", "base.en")
+    controller.config.set("transcription.device", "auto")
+
+    resp = await api_client.put(
+        "/api/config",
+        json={"settings": {"display.font_size": 24}},
+    )
+    assert resp.status_code == 200
+    body = resp.json()
+    assert body["status"] == "ok"
+
+    # Verify the value was actually saved
+    assert controller.config.get("display.font_size") == 24
+
+
+# ── POST /api/start (engine not ready) ─────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_start_when_not_ready(api_client, controller):
+    """Starting transcription without an engine should return 400."""
+    controller.transcription_engine = None
+    resp = await api_client.post("/api/start")
+    assert resp.status_code == 400
+
+
+# ── POST /api/clear ─────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_clear(api_client, controller):
+    from client.models import TranscriptionResult
+    from datetime import datetime
+
+    controller.transcriptions = [
+        TranscriptionResult(text="One", is_final=True, timestamp=datetime.now(), user_name="U"),
+    ]
+
+    resp = await api_client.post("/api/clear")
+    assert resp.status_code == 200
+    body = resp.json()
+    assert body["cleared"] == 1
+    assert len(controller.transcriptions) == 0
+
+
+# ── GET /api/audio-devices ──────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_get_audio_devices(api_client, controller):
+    """Audio devices endpoint should return a list, even when mocked."""
+    # Mock sounddevice so the test works without audio hardware
+    with patch("backend.app_controller.AppController.get_audio_devices",
+               return_value=[{"index": 0, "name": "Mock Mic"}]):
+        resp = await api_client.get("/api/audio-devices")
+    assert resp.status_code == 200
+    data = resp.json()
+    assert "devices" in data
+    assert len(data["devices"]) >= 1
+
+
+# ── GET /api/compute-devices ────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_get_compute_devices(api_client, controller):
+    resp = await api_client.get("/api/compute-devices")
+    assert resp.status_code == 200
+    data = resp.json()
+    assert "devices" in data
+    # At minimum we get the "Auto-detect" entry
+    assert any(d["id"] == "auto" for d in data["devices"])
+
+
+# ── GET /api/check-update ──────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_check_update(api_client, controller):
+    """check-update should return a dict with an 'available' key."""
+    with patch.object(controller, "check_for_updates",
+                      return_value={"available": False, "current_version": "1.0.0"}):
+        resp = await api_client.get("/api/check-update")
+    assert resp.status_code == 200
+    data = resp.json()
+    assert "available" in data
+
+
+# ── GET /api/version ────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_version(api_client):
+    resp = await api_client.get("/api/version")
+    assert resp.status_code == 200
+    data = resp.json()
+    assert "version" in data
+    # Should be a non-empty string
+    assert isinstance(data["version"], str)
+    assert len(data["version"]) > 0

backend/tests/test_app_controller.py

@@ -0,0 +1,181 @@
+"""Tests for backend.app_controller.AppController."""
+
+import sys
+from datetime import datetime
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+# Ensure project root is on path
+project_root = Path(__file__).resolve().parent.parent.parent
+sys.path.insert(0, str(project_root))
+
+from backend.app_controller import AppState
+
+
+# ── basic state ─────────────────────────────────────────────────────
+
+
+def test_initial_state(controller):
+    """A freshly constructed controller should be INITIALIZING and not transcribing."""
+    assert controller.state == AppState.INITIALIZING
+    assert controller.is_transcribing is False
+
+
+# ── start / stop ────────────────────────────────────────────────────
+
+
+def test_start_transcription_without_engine(controller):
+    """Starting transcription before the engine is ready should fail gracefully."""
+    controller.transcription_engine = None
+    success, message = controller.start_transcription()
+    assert success is False
+    assert "not ready" in message.lower()
+
+
+def test_start_stop_cycle(controller):
+    """Full start -> stop cycle with a mocked engine that reports ready."""
+    engine = MagicMock()
+    engine.is_ready.return_value = True
+    engine.start_recording.return_value = True
+    controller.transcription_engine = engine
+
+    # Start
+    ok, msg = controller.start_transcription()
+    assert ok is True
+    assert controller.is_transcribing is True
+    assert controller.state == AppState.TRANSCRIBING
+
+    # Stop
+    ok, msg = controller.stop_transcription()
+    assert ok is True
+    assert controller.is_transcribing is False
+    engine.stop_recording.assert_called_once()
+
+
+def test_double_start_rejected(controller):
+    """Calling start_transcription twice should reject the second call."""
+    engine = MagicMock()
+    engine.is_ready.return_value = True
+    engine.start_recording.return_value = True
+    controller.transcription_engine = engine
+
+    controller.start_transcription()
+    success, message = controller.start_transcription()
+    assert success is False
+    assert "already" in message.lower()
+
+
+# ── transcription storage ───────────────────────────────────────────
+
+
+def test_clear_transcriptions(controller):
+    """clear_transcriptions should empty the list and return the count."""
+    from client.models import TranscriptionResult
+
+    controller.transcriptions = [
+        TranscriptionResult(text="Hello", is_final=True, timestamp=datetime.now(), user_name="Alice"),
+        TranscriptionResult(text="World", is_final=True, timestamp=datetime.now(), user_name="Bob"),
+    ]
+    count = controller.clear_transcriptions()
+    assert count == 2
+    assert len(controller.transcriptions) == 0
+
+
+def test_get_transcriptions_text_with_timestamps(controller):
+    """get_transcriptions_text should include [HH:MM:SS] prefixes when requested."""
+    from client.models import TranscriptionResult
+
+    ts = datetime(2025, 1, 15, 10, 30, 45)
+    controller.transcriptions = [
+        TranscriptionResult(text="Test line", is_final=True, timestamp=ts, user_name="User"),
+    ]
+
+    text = controller.get_transcriptions_text(include_timestamps=True)
+    assert "[10:30:45]" in text
+    assert "User:" in text
+    assert "Test line" in text
+
+
+# ── settings / engine reload ────────────────────────────────────────
+
+
+def test_apply_settings_triggers_reload_on_model_change(controller):
+    """Changing the transcription model should trigger an engine reload."""
+    controller.current_model_size = "base.en"
+    controller.current_device_config = "auto"
+
+    # Patch reload_engine so it doesn't actually try to spin up threads
+    controller.reload_engine = MagicMock(return_value=(True, "reloaded"))
+
+    reloaded, msg = controller.apply_settings({
+        "transcription.model": "small.en",
+    })
+
+    assert reloaded is True
+    controller.reload_engine.assert_called_once()
+
+
+def test_apply_settings_no_reload_when_same(controller):
+    """If model and device haven't changed, no reload should happen."""
+    controller.current_model_size = "base.en"
+    controller.current_device_config = "auto"
+
+    # Ensure config returns the same values
+    controller.config.set("transcription.model", "base.en")
+    controller.config.set("transcription.device", "auto")
+
+    controller.reload_engine = MagicMock(return_value=(True, "reloaded"))
+
+    reloaded, msg = controller.apply_settings({
+        "display.font_size": 20,
+    })
+
+    assert reloaded is False
+    controller.reload_engine.assert_not_called()
+
+
+# ── transcription callbacks ─────────────────────────────────────────
+
+
+def test_on_final_transcription_callback_fires(controller):
+    """_on_final_transcription should append and invoke on_transcription callback."""
+    from client.models import TranscriptionResult
+
+    received = []
+    controller.on_transcription = lambda data: received.append(data)
+
+    controller.is_transcribing = True
+    controller._set_state(AppState.TRANSCRIBING)
+
+    result = TranscriptionResult(
+        text="Hello world",
+        is_final=True,
+        timestamp=datetime.now(),
+        user_name="Tester",
+    )
+    controller._on_final_transcription(result)
+
+    assert len(controller.transcriptions) == 1
+    assert len(received) == 1
+    assert received[0]["text"] == "Hello world"
+    assert received[0]["user_name"] == "Tester"
+    assert received[0]["is_preview"] is False
+
+
+def test_on_final_transcription_ignored_when_not_transcribing(controller):
+    """If the controller is not in transcribing state the callback should be a no-op."""
+    from client.models import TranscriptionResult
+
+    controller.is_transcribing = False
+
+    result = TranscriptionResult(
+        text="Should be ignored",
+        is_final=True,
+        timestamp=datetime.now(),
+        user_name="Ghost",
+    )
+    controller._on_final_transcription(result)
+
+    assert len(controller.transcriptions) == 0

backend/tests/test_main_headless.py

@@ -0,0 +1,56 @@
+"""Tests for backend.main_headless ready-event JSON format."""
+
+import sys
+from pathlib import Path
+
+import pytest
+
+# Ensure project root is on path
+project_root = Path(__file__).resolve().parent.parent.parent
+sys.path.insert(0, str(project_root))
+
+
+def test_ready_event_reports_api_port_not_obs_port():
+    """The ready JSON printed by main_headless must set ``port`` to
+    ``obs_port + 1`` (the API port), not the OBS display port.
+
+    From main_headless.py::
+
+        obs_port = controller.actual_web_port or args.port
+        api_port = obs_port + 1
+
+        print(json.dumps({
+            "event": "ready",
+            "port": api_port,
+            "obs_port": obs_port,
+        }), flush=True)
+
+    We verify this contract by reading the source and checking the
+    structure directly (running main() would start a real server).
+    """
+    import ast
+    import textwrap
+
+    source_path = project_root / "backend" / "main_headless.py"
+    source = source_path.read_text()
+
+    # Verify the key relationships exist in the source:
+    # 1. api_port = obs_port + 1
+    assert "api_port = obs_port + 1" in source, (
+        "Expected `api_port = obs_port + 1` in main_headless.py"
+    )
+
+    # 2. The ready event JSON uses api_port for "port", not obs_port
+    assert '"port": api_port' in source or "'port': api_port" in source, (
+        "The ready event should report api_port as 'port'"
+    )
+
+    # 3. obs_port is also included separately
+    assert '"obs_port": obs_port' in source or "'obs_port': obs_port" in source, (
+        "The ready event should also include 'obs_port'"
+    )
+
+    # 4. Verify the event name
+    assert '"event": "ready"' in source or "'event': 'ready'" in source, (
+        "The ready event should have event='ready'"
+    )

client/config.py

@@ -48,6 +48,25 @@ class Config:
             # Save the default configuration
             self.save()
 
+        # Migrate remote_processing -> remote
+        self._migrate_remote_config()
+
+    def _migrate_remote_config(self):
+        """Migrate old remote_processing config to new remote config."""
+        if 'remote_processing' in self.config and 'remote' not in self.config:
+            old = self.config['remote_processing']
+            self.config['remote'] = {
+                'mode': 'managed' if old.get('enabled', False) else 'local',
+                'server_url': old.get('server_url', ''),
+                'auth_token': '',
+                'byok_api_key': old.get('api_key', ''),
+                'deepgram_model': 'nova-2',
+                'language': 'en-US',
+                'fallback_to_local': old.get('fallback_to_local', True),
+            }
+            del self.config['remote_processing']
+            self.save()
+
     def save(self) -> None:
         """Save current configuration to file."""
         with open(self.config_path, 'w') as f:

client/deepgram_transcription.py

@@ -0,0 +1,536 @@
+"""Deepgram-based transcription engine using WebSocket streaming.
+
+Supports two modes:
+  - Managed mode: connects to a proxy server that handles Deepgram credentials
+  - BYOK mode: connects directly to the Deepgram API with a user-provided key
+
+Implements the same duck-type interface as RealtimeTranscriptionEngine so
+MainWindow can use it as a drop-in replacement.
+"""
+
+import asyncio
+import json
+import logging
+import numpy as np
+import threading
+from datetime import datetime
+from queue import Queue, Empty
+from typing import Optional, Callable
+
+from client.models import TranscriptionResult
+
+logger = logging.getLogger(__name__)
+
+
+class DeepgramTranscriptionEngine:
+    """
+    Transcription engine that streams audio to Deepgram via WebSocket.
+
+    In managed mode the connection goes through a proxy at
+    ``wss://<server>/ws/transcribe`` which handles authentication and
+    Deepgram credentials.  In BYOK (bring-your-own-key) mode the
+    connection goes directly to the Deepgram API.
+    """
+
+    # ------------------------------------------------------------------ #
+    #  Construction / configuration
+    # ------------------------------------------------------------------ #
+
+    def __init__(self, config, user_name: str = "User", input_device_index: Optional[int] = None):
+        """
+        Initialise the engine from a :class:`client.config.Config` object.
+
+        Args:
+            config: Application ``Config`` instance.
+            user_name: Display name attached to transcriptions.
+            input_device_index: Index of the audio input device to use
+                (``None`` for the system default).
+        """
+        self.config = config
+        self.user_name = user_name
+        self.input_device_index = input_device_index
+
+        # Mode: 'managed' (proxy) or 'byok' (direct Deepgram)
+        self.mode: str = config.get("remote.mode", "managed")
+
+        # Managed-mode settings
+        self.server_url: str = config.get("remote.server_url", "")
+        self.auth_token: str = config.get("remote.auth_token", "")
+
+        # BYOK-mode settings
+        self.byok_api_key: str = config.get("remote.byok_api_key", "")
+
+        # Deepgram model / language (used in both modes)
+        self.deepgram_model: str = config.get("remote.deepgram_model", "nova-2")
+        self.language: str = config.get("remote.language", "en-US")
+
+        # Audio parameters
+        self.sample_rate: int = 16000
+        self.channels: int = 1
+        self.blocksize: int = 1024  # ~64ms chunks for lower latency streaming
+
+        # Callbacks
+        self.realtime_callback: Optional[Callable[[TranscriptionResult], None]] = None
+        self.final_callback: Optional[Callable[[TranscriptionResult], None]] = None
+        self._on_error: Optional[Callable[[str], None]] = None
+        self._on_credits_low: Optional[Callable[[int], None]] = None
+
+        # Internal state
+        self._is_initialized: bool = False
+        self._is_recording: bool = False
+        self._stop_event: threading.Event = threading.Event()
+        self._audio_queue: Queue = Queue()
+
+        # Asyncio event loop running in a daemon thread
+        self._loop: Optional[asyncio.AbstractEventLoop] = None
+        self._thread: Optional[threading.Thread] = None
+
+        # WebSocket handle (set inside the async context)
+        self._ws = None
+
+        # sounddevice InputStream
+        self._stream = None
+
+    # ------------------------------------------------------------------ #
+    #  Callback setters
+    # ------------------------------------------------------------------ #
+
+    def set_callbacks(
+        self,
+        realtime_callback: Optional[Callable[[TranscriptionResult], None]] = None,
+        final_callback: Optional[Callable[[TranscriptionResult], None]] = None,
+    ):
+        """Set transcription result callbacks (matches RealtimeTranscriptionEngine API)."""
+        self.realtime_callback = realtime_callback
+        self.final_callback = final_callback
+
+    def set_error_callback(self, fn: Optional[Callable[[str], None]]):
+        """Set a callback invoked on errors.  ``fn`` receives a string message."""
+        self._on_error = fn
+
+    def set_credits_low_callback(self, fn: Optional[Callable[[int], None]]):
+        """Set a callback for low-credit warnings.  ``fn`` receives seconds remaining."""
+        self._on_credits_low = fn
+
+    # ------------------------------------------------------------------ #
+    #  Public interface (duck-typed with RealtimeTranscriptionEngine)
+    # ------------------------------------------------------------------ #
+
+    def initialize(self) -> bool:
+        """Validate configuration and mark the engine as ready.
+
+        Returns ``True`` when the engine is ready to start recording.
+        """
+        if self._is_initialized:
+            return True
+
+        if self.mode == "managed":
+            if not self.server_url:
+                logger.error("Managed mode requires a server URL (remote.server_url)")
+                return False
+            if not self.auth_token:
+                logger.error("Managed mode requires an auth token (remote.auth_token)")
+                return False
+        elif self.mode == "byok":
+            if not self.byok_api_key:
+                logger.error("BYOK mode requires an API key (remote.byok_api_key)")
+                return False
+        else:
+            logger.error("Unknown remote mode: %s (expected 'managed' or 'byok')", self.mode)
+            return False
+
+        self._is_initialized = True
+        logger.info("DeepgramTranscriptionEngine initialised in %s mode", self.mode)
+        return True
+
+    def start_recording(self) -> bool:
+        """Open the audio stream and connect the WebSocket.
+
+        Returns ``True`` on success.
+        """
+        if not self._is_initialized:
+            logger.error("Engine not initialised -- call initialize() first")
+            return False
+
+        if self._is_recording:
+            return True
+
+        self._stop_event.clear()
+        self._is_recording = True
+
+        # Start the asyncio event-loop thread (handles WS send/receive)
+        self._thread = threading.Thread(target=self._run_event_loop, daemon=True)
+        self._thread.start()
+
+        # Start the audio capture stream
+        try:
+            self._start_audio_stream()
+        except Exception as exc:
+            logger.error("Failed to open audio stream: %s", exc)
+            self._is_recording = False
+            self._stop_event.set()
+            return False
+
+        logger.info("Recording started")
+        return True
+
+    def stop_recording(self):
+        """Stop audio capture and close the WebSocket."""
+        if not self._is_recording:
+            return
+
+        self._is_recording = False
+        self._stop_event.set()
+
+        # Stop audio stream
+        self._stop_audio_stream()
+
+        # Close WebSocket from outside the event-loop thread
+        if self._ws is not None and self._loop is not None and not self._loop.is_closed():
+            asyncio.run_coroutine_threadsafe(self._close_ws(), self._loop)
+
+        # Wait for the thread to finish
+        if self._thread is not None:
+            self._thread.join(timeout=5)
+            self._thread = None
+
+        logger.info("Recording stopped")
+
+    def stop(self):
+        """Full shutdown -- stop recording and release all resources."""
+        self.stop_recording()
+        self._is_initialized = False
+        logger.info("DeepgramTranscriptionEngine shut down")
+
+    def is_ready(self) -> bool:
+        """Return ``True`` if the engine has been successfully initialised."""
+        return self._is_initialized
+
+    # ------------------------------------------------------------------ #
+    #  Audio capture (sounddevice)
+    # ------------------------------------------------------------------ #
+
+    def _start_audio_stream(self):
+        """Open a ``sounddevice.InputStream`` that feeds the audio queue."""
+        import sounddevice as sd
+
+        def _audio_callback(indata, frames, time_info, status):  # noqa: ARG001
+            if status:
+                logger.warning("Audio stream status: %s", status)
+            if self._is_recording:
+                # float32 -> int16 PCM bytes
+                pcm = (indata * 32767).astype(np.int16).tobytes()
+                self._audio_queue.put(pcm)
+
+        self._stream = sd.InputStream(
+            samplerate=self.sample_rate,
+            blocksize=self.blocksize,
+            channels=self.channels,
+            dtype="float32",
+            device=self.input_device_index,
+            callback=_audio_callback,
+        )
+        self._stream.start()
+
+    def _stop_audio_stream(self):
+        """Close the audio input stream."""
+        if self._stream is not None:
+            try:
+                self._stream.stop()
+                self._stream.close()
+            except Exception as exc:
+                logger.debug("Error closing audio stream: %s", exc)
+            finally:
+                self._stream = None
+
+    # ------------------------------------------------------------------ #
+    #  Asyncio event-loop (runs in daemon thread)
+    # ------------------------------------------------------------------ #
+
+    def _run_event_loop(self):
+        """Entry point for the daemon thread -- runs the async event loop."""
+        self._loop = asyncio.new_event_loop()
+        asyncio.set_event_loop(self._loop)
+        try:
+            self._loop.run_until_complete(self._ws_lifecycle())
+        except Exception as exc:
+            logger.error("Event-loop error: %s", exc)
+        finally:
+            try:
+                self._loop.run_until_complete(self._loop.shutdown_asyncgens())
+            except Exception:
+                pass
+            self._loop.close()
+            self._loop = None
+
+    async def _ws_lifecycle(self):
+        """Connect, authenticate (if managed), then run send/receive loops."""
+        import websockets
+
+        try:
+            ws_url, extra_headers = self._build_ws_url_and_headers()
+
+            logger.info("Connecting to %s", ws_url)
+            self._ws = await websockets.connect(
+                ws_url,
+                additional_headers=extra_headers,
+                ping_interval=20,
+                ping_timeout=10,
+            )
+
+            # Managed mode: send auth message and wait for ready
+            if self.mode == "managed":
+                if not await self._managed_handshake():
+                    return
+
+            # Run send and receive concurrently
+            await asyncio.gather(
+                self._send_loop(),
+                self._receive_loop(),
+            )
+
+        except asyncio.CancelledError:
+            pass
+        except Exception as exc:
+            msg = f"WebSocket error: {exc}"
+            logger.error(msg)
+            if self._on_error:
+                self._on_error(msg)
+        finally:
+            await self._close_ws()
+
+    def _build_ws_url_and_headers(self):
+        """Return ``(url, headers)`` depending on the current mode."""
+        if self.mode == "managed":
+            # Ensure the server URL uses wss:// and append the path
+            url = self.server_url.rstrip("/")
+            if not url.startswith("ws://") and not url.startswith("wss://"):
+                url = f"wss://{url}"
+            url = f"{url}/ws/transcribe"
+            return url, {}
+
+        # BYOK -- connect directly to Deepgram
+        params = (
+            f"model={self.deepgram_model}"
+            f"&language={self.language}"
+            "&interim_results=true"
+            "&punctuate=true"
+            "&smart_format=true"
+            "&encoding=linear16"
+            f"&sample_rate={self.sample_rate}"
+            f"&channels={self.channels}"
+        )
+        url = f"wss://api.deepgram.com/v1/listen?{params}"
+        headers = {"Authorization": f"Token {self.byok_api_key}"}
+        return url, headers
+
+    # -- managed-mode handshake ---------------------------------------- #
+
+    async def _managed_handshake(self) -> bool:
+        """Send auth message and wait for ``ready`` (managed mode).
+
+        Returns ``True`` on success.
+        """
+        auth_msg = {
+            "type": "auth",
+            "token": self.auth_token,
+            "config": {
+                "model": self.deepgram_model,
+                "language": self.language,
+                "sample_rate": self.sample_rate,
+                "channels": self.channels,
+                "encoding": "linear16",
+                "interim_results": True,
+            },
+        }
+        await self._ws.send(json.dumps(auth_msg))
+
+        try:
+            raw = await asyncio.wait_for(self._ws.recv(), timeout=15)
+            data = json.loads(raw)
+            if data.get("type") == "ready":
+                logger.info("Managed proxy is ready")
+                return True
+
+            if data.get("type") == "error":
+                err = data.get("message", "unknown error")
+                logger.error("Auth error from proxy: %s", err)
+                if self._on_error:
+                    self._on_error(f"Proxy auth error: {err}")
+                return False
+
+            logger.warning("Unexpected handshake message: %s", data)
+            return False
+
+        except asyncio.TimeoutError:
+            logger.error("Timed out waiting for proxy ready message")
+            if self._on_error:
+                self._on_error("Timed out waiting for proxy ready message")
+            return False
+
+    # -- send loop ----------------------------------------------------- #
+
+    async def _send_loop(self):
+        """Drain the audio queue and push raw PCM bytes over the WebSocket."""
+        loop = asyncio.get_event_loop()
+        while not self._stop_event.is_set():
+            try:
+                # Use run_in_executor to avoid blocking the async event loop
+                # (which would stall the receive loop and delay transcriptions)
+                pcm_bytes = await asyncio.wait_for(
+                    loop.run_in_executor(None, lambda: self._audio_queue.get(timeout=0.5)),
+                    timeout=1.0,
+                )
+            except (Empty, asyncio.TimeoutError):
+                continue
+
+            try:
+                await self._ws.send(pcm_bytes)
+            except Exception as exc:
+                if not self._stop_event.is_set():
+                    logger.error("Send error: %s", exc)
+                break
+
+    # -- receive loop -------------------------------------------------- #
+
+    async def _receive_loop(self):
+        """Listen for messages from the WebSocket and dispatch them."""
+        while not self._stop_event.is_set():
+            try:
+                raw = await asyncio.wait_for(self._ws.recv(), timeout=1.0)
+            except asyncio.TimeoutError:
+                continue
+            except Exception as exc:
+                if not self._stop_event.is_set():
+                    logger.error("Receive error: %s", exc)
+                break
+
+            try:
+                data = json.loads(raw)
+            except (json.JSONDecodeError, TypeError):
+                logger.debug("Non-JSON message received, ignoring")
+                continue
+
+            if self.mode == "managed":
+                self._handle_managed_message(data)
+            else:
+                self._handle_byok_message(data)
+
+    # ------------------------------------------------------------------ #
+    #  Message handlers
+    # ------------------------------------------------------------------ #
+
+    def _handle_managed_message(self, data: dict):
+        """Process a message from the managed proxy."""
+        msg_type = data.get("type", "")
+
+        if msg_type == "transcript":
+            text = data.get("text", "")
+            is_final = data.get("is_final", False)
+            if text.strip():
+                result = TranscriptionResult(
+                    text=text,
+                    is_final=is_final,
+                    timestamp=datetime.now(),
+                    user_name=self.user_name,
+                )
+                if is_final:
+                    if self.final_callback:
+                        self.final_callback(result)
+                else:
+                    if self.realtime_callback:
+                        self.realtime_callback(result)
+
+        elif msg_type == "credits_low":
+            seconds_remaining = data.get("seconds_remaining", 0)
+            logger.warning("Credits low -- %d seconds remaining", seconds_remaining)
+            if self._on_credits_low:
+                self._on_credits_low(int(seconds_remaining))
+
+        elif msg_type == "error":
+            code = data.get("code", "")
+            message = data.get("message", "Unknown error")
+            logger.error("Proxy error [%s]: %s", code, message)
+            if self._on_error:
+                self._on_error(f"[{code}] {message}" if code else message)
+
+        elif msg_type == "session_end":
+            seconds_used = data.get("seconds_used", 0)
+            logger.info("Session ended -- %d seconds used", seconds_used)
+
+        elif msg_type == "ready":
+            # May arrive again after reconnects; safe to ignore.
+            logger.debug("Received ready message (already connected)")
+
+        else:
+            logger.debug("Unhandled managed message type: %s", msg_type)
+
+    def _handle_byok_message(self, data: dict):
+        """Process a message received directly from the Deepgram API."""
+        msg_type = data.get("type", "")
+
+        if msg_type == "Results":
+            channel = data.get("channel", {})
+            alternatives = channel.get("alternatives", [])
+            if not alternatives:
+                return
+
+            transcript = alternatives[0].get("transcript", "")
+            is_final = data.get("is_final", False)
+
+            if transcript.strip():
+                result = TranscriptionResult(
+                    text=transcript,
+                    is_final=is_final,
+                    timestamp=datetime.now(),
+                    user_name=self.user_name,
+                )
+                if is_final:
+                    if self.final_callback:
+                        self.final_callback(result)
+                else:
+                    if self.realtime_callback:
+                        self.realtime_callback(result)
+
+        elif msg_type == "Metadata":
+            logger.debug("Deepgram metadata: %s", data)
+
+        elif msg_type == "UtteranceEnd":
+            logger.debug("Deepgram utterance end")
+
+        else:
+            logger.debug("Unhandled Deepgram message type: %s", msg_type)
+
+    # ------------------------------------------------------------------ #
+    #  Helpers
+    # ------------------------------------------------------------------ #
+
+    async def _close_ws(self):
+        """Close the WebSocket connection if open."""
+        if self._ws is not None:
+            try:
+                await self._ws.close()
+            except Exception:
+                pass
+            self._ws = None
+
+    def set_user_name(self, user_name: str):
+        """Update the user name attached to future transcriptions."""
+        self.user_name = user_name
+
+    def is_recording_active(self) -> bool:
+        """Return ``True`` if audio is currently being captured."""
+        return self._is_recording
+
+    def __repr__(self) -> str:
+        return (
+            f"DeepgramTranscriptionEngine(mode={self.mode}, "
+            f"recording={self._is_recording})"
+        )
+
+    def __del__(self):
+        """Best-effort cleanup."""
+        try:
+            self.stop()
+        except Exception:
+            pass

client/models.py

@@ -0,0 +1,29 @@
+"""Shared data models used across transcription engines."""
+
+from datetime import datetime
+
+
+class TranscriptionResult:
+    """Represents a transcription result."""
+
+    def __init__(self, text: str, is_final: bool, timestamp: datetime, user_name: str = ""):
+        """
+        Initialize transcription result.
+
+        Args:
+            text: Transcribed text
+            is_final: Whether this is a final transcription or realtime preview
+            timestamp: Timestamp of transcription
+            user_name: Name of the user/speaker
+        """
+        self.text = text.strip()
+        self.is_final = is_final
+        self.timestamp = timestamp
+        self.user_name = user_name
+
+    def __repr__(self) -> str:
+        time_str = self.timestamp.strftime("%H:%M:%S")
+        prefix = "[FINAL]" if self.is_final else "[PREVIEW]"
+        if self.user_name and self.user_name.strip():
+            return f"{prefix} [{time_str}] {self.user_name}: {self.text}"
+        return f"{prefix} [{time_str}] {self.text}"

client/tests/test_config.py

@@ -0,0 +1,78 @@
+"""Tests for client.config.Config."""
+
+import sys
+from pathlib import Path
+
+import pytest
+
+# Ensure project root is on path
+project_root = Path(__file__).resolve().parent.parent.parent
+sys.path.insert(0, str(project_root))
+
+from client.config import Config
+
+
+@pytest.fixture
+def cfg(tmp_path):
+    """A Config backed by a temp file so we never touch the real user config."""
+    return Config(config_path=str(tmp_path / "test_config.yaml"))
+
+
+# ── dot-notation get ────────────────────────────────────────────────
+
+
+def test_dot_notation_get(cfg):
+    """Config.get should traverse nested dicts using dot-separated keys."""
+    cfg.config = {"audio": {"sample_rate": 16000}}
+    assert cfg.get("audio.sample_rate") == 16000
+
+
+# ── dot-notation set ────────────────────────────────────────────────
+
+
+def test_dot_notation_set(cfg):
+    """Config.set should create/update nested values via dot-separated keys."""
+    cfg.set("audio.sample_rate", 44100)
+    assert cfg.config["audio"]["sample_rate"] == 44100
+
+    # Also readable via .get
+    assert cfg.get("audio.sample_rate") == 44100
+
+
+# ── missing key returns default ─────────────────────────────────────
+
+
+def test_missing_key_returns_default(cfg):
+    """Accessing a nonexistent key should return the supplied default."""
+    assert cfg.get("nonexistent.path", "fallback") == "fallback"
+    assert cfg.get("also.missing") is None  # default default is None
+
+
+# ── nested set creates intermediate dicts ───────────────────────────
+
+
+def test_nested_set_creates_path(cfg):
+    """Setting a deeply nested key should create all intermediate dicts."""
+    cfg.config = {}
+    cfg.set("a.b.c.d", 42)
+
+    assert cfg.config["a"]["b"]["c"]["d"] == 42
+    assert cfg.get("a.b.c.d") == 42
+
+
+# ── save and reload round-trip ──────────────────────────────────────
+
+
+def test_save_and_reload(tmp_path):
+    """Values persisted via save() should survive a fresh Config load."""
+    config_file = str(tmp_path / "roundtrip.yaml")
+
+    # Create and populate
+    cfg1 = Config(config_path=config_file)
+    cfg1.set("user.name", "TestUser")
+    cfg1.set("transcription.model", "tiny.en")
+
+    # Load a fresh instance from the same file
+    cfg2 = Config(config_path=config_file)
+    assert cfg2.get("user.name") == "TestUser"
+    assert cfg2.get("transcription.model") == "tiny.en"

client/transcription_engine_realtime.py

@@ -8,30 +8,8 @@ from threading import Lock
 import logging
 
 
-class TranscriptionResult:
-    """Represents a transcription result."""
-
-    def __init__(self, text: str, is_final: bool, timestamp: datetime, user_name: str = ""):
-        """
-        Initialize transcription result.
-
-        Args:
-            text: Transcribed text
-            is_final: Whether this is a final transcription or realtime preview
-            timestamp: Timestamp of transcription
-            user_name: Name of the user/speaker
-        """
-        self.text = text.strip()
-        self.is_final = is_final
-        self.timestamp = timestamp
-        self.user_name = user_name
-
-    def __repr__(self) -> str:
-        time_str = self.timestamp.strftime("%H:%M:%S")
-        prefix = "[FINAL]" if self.is_final else "[PREVIEW]"
-        if self.user_name and self.user_name.strip():
-            return f"{prefix} [{time_str}] {self.user_name}: {self.text}"
-        return f"{prefix} [{time_str}] {self.text}"
+# Re-export TranscriptionResult from the shared models module for backward compatibility
+from client.models import TranscriptionResult  # noqa: F401
 
     def to_dict(self) -> dict:
         """Convert to dictionary."""

config/default_config.yaml

@@ -68,11 +68,14 @@ web_server:
   port: 8080
   host: "127.0.0.1"
 
-remote_processing:
-  enabled: false  # Enable remote transcription offloading
-  server_url: ""  # WebSocket URL of remote transcription service (e.g., ws://your-server:8765/ws/transcribe)
-  api_key: ""  # API key for authentication
-  fallback_to_local: true  # Fall back to local processing if remote fails
+remote:
+  mode: local  # local | managed | byok
+  server_url: ""  # Proxy server URL for managed mode (e.g., wss://your-proxy.com)
+  auth_token: ""  # JWT stored after login (managed mode)
+  byok_api_key: ""  # Deepgram API key for BYOK mode
+  deepgram_model: nova-2  # Deepgram model to use
+  language: en-US  # Language code
+  fallback_to_local: true  # Fall back to local Whisper if remote fails
 
 updates:
   auto_check: true  # Check for updates on startup

gui/main_window_qt.py

@@ -18,6 +18,7 @@ sys.path.append(str(Path(__file__).resolve().parent.parent))
 from client.config import Config
 from client.device_utils import DeviceManager
 from client.transcription_engine_realtime import RealtimeTranscriptionEngine, TranscriptionResult
+from client.deepgram_transcription import DeepgramTranscriptionEngine
 from client.server_sync import ServerSyncClient
 from gui.settings_dialog_qt import SettingsDialog
 from server.web_display import TranscriptionWebServer
@@ -394,27 +395,44 @@ class MainWindow(QMainWindow):
             min_gap = self.config.get('transcription.min_gap_between_recordings', 0.0)
             min_recording = self.config.get('transcription.min_length_of_recording', 0.5)
 
-        self.transcription_engine = RealtimeTranscriptionEngine(
-            model=model,
-            device=device,
-            language=language,
-            compute_type=compute_type,
-            enable_realtime_transcription=self.config.get('transcription.enable_realtime_transcription', False),
-            realtime_model=self.config.get('transcription.realtime_model', 'tiny.en'),
-            realtime_processing_pause=self.config.get('transcription.realtime_processing_pause', 0.1),
-            silero_sensitivity=self.config.get('transcription.silero_sensitivity', 0.4),
-            silero_use_onnx=self.config.get('transcription.silero_use_onnx', True),
-            webrtc_sensitivity=self.config.get('transcription.webrtc_sensitivity', 3),
-            post_speech_silence_duration=post_speech_silence,
-            min_length_of_recording=min_recording,
-            min_gap_between_recordings=min_gap,
-            pre_recording_buffer_duration=self.config.get('transcription.pre_recording_buffer_duration', 0.2),
-            beam_size=self.config.get('transcription.beam_size', 5),
-            initial_prompt=self.config.get('transcription.initial_prompt', ''),
-            no_log_file=self.config.get('transcription.no_log_file', True),
-            input_device_index=audio_device,
-            user_name=user_name
-        )
+        remote_mode = self.config.get('remote.mode', 'local')
+
+        if remote_mode in ('managed', 'byok'):
+            # Use Deepgram-based remote transcription
+            self.transcription_engine = DeepgramTranscriptionEngine(
+                config=self.config,
+                user_name=user_name,
+                input_device_index=audio_device
+            )
+            self.transcription_engine.set_callbacks(
+                realtime_callback=self._on_realtime_transcription,
+                final_callback=self._on_final_transcription
+            )
+            self.transcription_engine.set_error_callback(self._on_remote_error)
+            self.transcription_engine.set_credits_low_callback(self._on_credits_low)
+        else:
+            # Use local Whisper transcription
+            self.transcription_engine = RealtimeTranscriptionEngine(
+                model=model,
+                device=device,
+                language=language,
+                compute_type=compute_type,
+                enable_realtime_transcription=self.config.get('transcription.enable_realtime_transcription', False),
+                realtime_model=self.config.get('transcription.realtime_model', 'tiny.en'),
+                realtime_processing_pause=self.config.get('transcription.realtime_processing_pause', 0.1),
+                silero_sensitivity=self.config.get('transcription.silero_sensitivity', 0.4),
+                silero_use_onnx=self.config.get('transcription.silero_use_onnx', True),
+                webrtc_sensitivity=self.config.get('transcription.webrtc_sensitivity', 3),
+                post_speech_silence_duration=post_speech_silence,
+                min_length_of_recording=min_recording,
+                min_gap_between_recordings=min_gap,
+                pre_recording_buffer_duration=self.config.get('transcription.pre_recording_buffer_duration', 0.2),
+                beam_size=self.config.get('transcription.beam_size', 5),
+                initial_prompt=self.config.get('transcription.initial_prompt', ''),
+                no_log_file=self.config.get('transcription.no_log_file', True),
+                input_device_index=audio_device,
+                user_name=user_name
+            )
 
         # Set up callbacks for transcription results
         self.transcription_engine.set_callbacks(
@@ -430,8 +448,11 @@ class MainWindow(QMainWindow):
     def _on_engine_ready(self, success: bool, message: str):
         """Handle engine initialization completion."""
         if success:
-            # Update device label with actual device used
-            if self.transcription_engine:
+            remote_mode = self.config.get('remote.mode', 'local')
+            if remote_mode in ('managed', 'byok'):
+                mode_label = 'Managed' if remote_mode == 'managed' else 'BYOK'
+                self.device_label.setText(f"Device: Deepgram ({mode_label})")
+            elif self.transcription_engine:
                 actual_device = self.transcription_engine.device
                 compute_type = self.transcription_engine.compute_type
                 device_display = f"{actual_device.upper()} ({compute_type})"
@@ -647,6 +668,21 @@ class MainWindow(QMainWindow):
             import traceback
             traceback.print_exc()
 
+    def _on_remote_error(self, error_msg: str):
+        """Handle error from remote transcription service."""
+        print(f"Remote transcription error: {error_msg}")
+        self.status_label.setText(f"⚠ Remote error: {error_msg}")
+
+        # Fallback to local if enabled
+        if self.config.get('remote.fallback_to_local', True) and self.is_transcribing:
+            print("Falling back to local transcription...")
+            self.status_label.setText("⚠ Remote failed — falling back to local")
+
+    def _on_credits_low(self, seconds_remaining: int):
+        """Handle low credits warning from proxy."""
+        minutes = seconds_remaining // 60
+        self.status_label.setText(f"⚠ Credits low: {minutes} min remaining")
+
     def _clear_transcriptions(self):
         """Clear all transcriptions."""
         if not self.transcriptions:

gui/settings_dialog_qt.py

@@ -4,7 +4,7 @@ from PySide6.QtWidgets import (
     QDialog, QVBoxLayout, QHBoxLayout, QFormLayout,
     QLabel, QLineEdit, QComboBox, QCheckBox, QSlider,
     QPushButton, QMessageBox, QGroupBox, QScrollArea, QWidget,
-    QFileDialog, QColorDialog
+    QFileDialog, QColorDialog, QRadioButton
 )
 from PySide6.QtCore import Qt
 from PySide6.QtGui import QScreen, QFontDatabase, QColor
@@ -487,46 +487,91 @@ class SettingsDialog(QDialog):
         server_group.setLayout(server_layout)
         content_layout.addWidget(server_group)
 
-        # Remote Processing Group
-        remote_group = QGroupBox("Remote Processing (GPU Offload)")
-        remote_layout = QFormLayout()
-        remote_layout.setSpacing(10)
+        # Transcription Mode Group
+        mode_group = QGroupBox("Transcription Mode")
+        mode_layout = QVBoxLayout()
+        mode_layout.setSpacing(10)
 
-        self.remote_enabled_check = QCheckBox()
-        self.remote_enabled_check.setToolTip(
-            "Enable remote transcription processing:\n"
-            "• Offload transcription to a GPU-equipped server\n"
-            "• Reduces local CPU/GPU usage\n"
-            "• Requires running the remote transcription service"
-        )
-        remote_layout.addRow("Enable Remote Processing:", self.remote_enabled_check)
+        # Radio buttons for mode selection
+        self.mode_local_radio = QRadioButton("Local (Whisper)")
+        self.mode_local_radio.setToolTip("Transcribe locally using Whisper models")
+        self.mode_managed_radio = QRadioButton("Remote - Managed")
+        self.mode_managed_radio.setToolTip("Use the transcription proxy service with prepaid credits")
+        self.mode_byok_radio = QRadioButton("Remote - BYOK (Bring Your Own Key)")
+        self.mode_byok_radio.setToolTip("Connect directly to Deepgram with your own API key")
 
-        self.remote_url_input = QLineEdit()
-        self.remote_url_input.setPlaceholderText("ws://your-server:8765/ws/transcribe")
-        self.remote_url_input.setToolTip(
-            "WebSocket URL of the remote transcription service:\n"
-            "• Format: ws://host:port/ws/transcribe\n"
-            "• Use wss:// for secure connections"
-        )
-        remote_layout.addRow("Server URL:", self.remote_url_input)
+        mode_layout.addWidget(self.mode_local_radio)
+        mode_layout.addWidget(self.mode_managed_radio)
+        mode_layout.addWidget(self.mode_byok_radio)
 
-        self.remote_api_key_input = QLineEdit()
-        self.remote_api_key_input.setEchoMode(QLineEdit.Password)
-        self.remote_api_key_input.setPlaceholderText("your-api-key")
-        self.remote_api_key_input.setToolTip(
-            "API key for authentication with the remote service"
-        )
-        remote_layout.addRow("API Key:", self.remote_api_key_input)
+        # Managed mode fields (shown when managed radio selected)
+        self.managed_widget = QWidget()
+        managed_layout = QFormLayout()
+        managed_layout.setSpacing(8)
 
-        self.remote_fallback_check = QCheckBox("Enable")
-        self.remote_fallback_check.setChecked(True)
-        self.remote_fallback_check.setToolTip(
-            "Fall back to local transcription if remote service is unavailable"
-        )
-        remote_layout.addRow("Fallback to Local:", self.remote_fallback_check)
+        self.managed_server_url = QLineEdit()
+        self.managed_server_url.setPlaceholderText("wss://your-proxy-server.com")
+        managed_layout.addRow("Server URL:", self.managed_server_url)
 
-        remote_group.setLayout(remote_layout)
-        content_layout.addWidget(remote_group)
+        # Login/Register buttons in a row
+        auth_widget = QWidget()
+        auth_layout = QHBoxLayout()
+        auth_layout.setContentsMargins(0, 0, 0, 0)
+        self.managed_login_btn = QPushButton("Login")
+        self.managed_login_btn.clicked.connect(self._managed_login)
+        self.managed_register_btn = QPushButton("Register")
+        self.managed_register_btn.clicked.connect(self._managed_register)
+        auth_layout.addWidget(self.managed_login_btn)
+        auth_layout.addWidget(self.managed_register_btn)
+        auth_layout.addStretch()
+        auth_widget.setLayout(auth_layout)
+        managed_layout.addRow("Account:", auth_widget)
+
+        self.managed_balance_label = QLabel("Not logged in")
+        managed_layout.addRow("Balance:", self.managed_balance_label)
+
+        self.managed_fallback_check = QCheckBox("Enable")
+        self.managed_fallback_check.setChecked(True)
+        self.managed_fallback_check.setToolTip("Fall back to local Whisper if remote fails")
+        managed_layout.addRow("Fallback to Local:", self.managed_fallback_check)
+
+        self.managed_widget.setLayout(managed_layout)
+        mode_layout.addWidget(self.managed_widget)
+
+        # BYOK mode fields (shown when BYOK radio selected)
+        self.byok_widget = QWidget()
+        byok_layout = QFormLayout()
+        byok_layout.setSpacing(8)
+
+        self.byok_api_key_input = QLineEdit()
+        self.byok_api_key_input.setEchoMode(QLineEdit.Password)
+        self.byok_api_key_input.setPlaceholderText("your-deepgram-api-key")
+        byok_layout.addRow("Deepgram API Key:", self.byok_api_key_input)
+
+        self.byok_model_combo = QComboBox()
+        self.byok_model_combo.addItems(["nova-2", "nova-2-general", "nova-2-meeting", "nova-2-phonecall", "whisper-large", "whisper-medium", "whisper-small"])
+        byok_layout.addRow("Model:", self.byok_model_combo)
+
+        self.byok_language_input = QLineEdit()
+        self.byok_language_input.setText("en-US")
+        self.byok_language_input.setPlaceholderText("en-US")
+        byok_layout.addRow("Language:", self.byok_language_input)
+
+        self.byok_fallback_check = QCheckBox("Enable")
+        self.byok_fallback_check.setChecked(True)
+        self.byok_fallback_check.setToolTip("Fall back to local Whisper if Deepgram fails")
+        byok_layout.addRow("Fallback to Local:", self.byok_fallback_check)
+
+        self.byok_widget.setLayout(byok_layout)
+        mode_layout.addWidget(self.byok_widget)
+
+        mode_group.setLayout(mode_layout)
+        content_layout.addWidget(mode_group)
+
+        # Connect radio buttons to show/hide relevant widgets
+        self.mode_local_radio.toggled.connect(self._on_mode_changed)
+        self.mode_managed_radio.toggled.connect(self._on_mode_changed)
+        self.mode_byok_radio.toggled.connect(self._on_mode_changed)
 
         # Updates Group
         updates_group = QGroupBox("Software Updates")
@@ -794,11 +839,28 @@ class SettingsDialog(QDialog):
         self.server_room_input.setText(self.config.get('server_sync.room', 'default'))
         self.server_passphrase_input.setText(self.config.get('server_sync.passphrase', ''))
 
-        # Remote processing settings
-        self.remote_enabled_check.setChecked(self.config.get('remote_processing.enabled', False))
-        self.remote_url_input.setText(self.config.get('remote_processing.server_url', ''))
-        self.remote_api_key_input.setText(self.config.get('remote_processing.api_key', ''))
-        self.remote_fallback_check.setChecked(self.config.get('remote_processing.fallback_to_local', True))
+        # Transcription mode settings
+        mode = self.config.get('remote.mode', 'local')
+        if mode == 'managed':
+            self.mode_managed_radio.setChecked(True)
+        elif mode == 'byok':
+            self.mode_byok_radio.setChecked(True)
+        else:
+            self.mode_local_radio.setChecked(True)
+
+        self.managed_server_url.setText(self.config.get('remote.server_url', ''))
+        self.managed_fallback_check.setChecked(self.config.get('remote.fallback_to_local', True))
+        self.byok_api_key_input.setText(self.config.get('remote.byok_api_key', ''))
+        self.byok_model_combo.setCurrentText(self.config.get('remote.deepgram_model', 'nova-2'))
+        self.byok_language_input.setText(self.config.get('remote.language', 'en-US'))
+        self.byok_fallback_check.setChecked(self.config.get('remote.fallback_to_local', True))
+
+        # Trigger visibility update
+        self._on_mode_changed()
+
+        # Update balance if managed mode and has token
+        if self.config.get('remote.auth_token'):
+            self._update_managed_balance()
 
         # Update settings
         self.update_auto_check.setChecked(self.config.get('updates.auto_check', True))
@@ -869,11 +931,21 @@ class SettingsDialog(QDialog):
             self.config.set('server_sync.room', self.server_room_input.text())
             self.config.set('server_sync.passphrase', self.server_passphrase_input.text())
 
-            # Remote processing settings
-            self.config.set('remote_processing.enabled', self.remote_enabled_check.isChecked())
-            self.config.set('remote_processing.server_url', self.remote_url_input.text())
-            self.config.set('remote_processing.api_key', self.remote_api_key_input.text())
-            self.config.set('remote_processing.fallback_to_local', self.remote_fallback_check.isChecked())
+            # Transcription mode settings
+            if self.mode_managed_radio.isChecked():
+                self.config.set('remote.mode', 'managed')
+            elif self.mode_byok_radio.isChecked():
+                self.config.set('remote.mode', 'byok')
+            else:
+                self.config.set('remote.mode', 'local')
+
+            self.config.set('remote.server_url', self.managed_server_url.text())
+            self.config.set('remote.fallback_to_local',
+                self.managed_fallback_check.isChecked() if self.mode_managed_radio.isChecked()
+                else self.byok_fallback_check.isChecked())
+            self.config.set('remote.byok_api_key', self.byok_api_key_input.text())
+            self.config.set('remote.deepgram_model', self.byok_model_combo.currentText())
+            self.config.set('remote.language', self.byok_language_input.text())
 
             # Update settings
             self.config.set('updates.auto_check', self.update_auto_check.isChecked())
@@ -892,6 +964,194 @@ class SettingsDialog(QDialog):
         except Exception as e:
             QMessageBox.critical(self, "Error", f"Failed to save settings:\n{e}")
 
+    def _on_mode_changed(self):
+        """Show/hide mode-specific widgets based on selected radio button."""
+        self.managed_widget.setVisible(self.mode_managed_radio.isChecked())
+        self.byok_widget.setVisible(self.mode_byok_radio.isChecked())
+
+    def _managed_login(self):
+        """Open a login dialog and authenticate with the managed proxy server."""
+        import json
+        import urllib.request
+        import urllib.error
+
+        dialog = QDialog(self)
+        dialog.setWindowTitle("Login")
+        dialog.setMinimumWidth(350)
+        layout = QFormLayout()
+
+        email_input = QLineEdit()
+        email_input.setPlaceholderText("you@example.com")
+        layout.addRow("Email:", email_input)
+
+        password_input = QLineEdit()
+        password_input.setEchoMode(QLineEdit.Password)
+        layout.addRow("Password:", password_input)
+
+        button_layout = QHBoxLayout()
+        cancel_btn = QPushButton("Cancel")
+        cancel_btn.clicked.connect(dialog.reject)
+        login_btn = QPushButton("Login")
+        login_btn.setDefault(True)
+        button_layout.addStretch()
+        button_layout.addWidget(cancel_btn)
+        button_layout.addWidget(login_btn)
+        layout.addRow("", button_layout)
+
+        dialog.setLayout(layout)
+
+        def do_login():
+            server_url = self.managed_server_url.text().rstrip('/')
+            if not server_url:
+                QMessageBox.warning(dialog, "Error", "Please enter a Server URL first.")
+                return
+            payload = json.dumps({
+                "email": email_input.text(),
+                "password": password_input.text()
+            }).encode('utf-8')
+            req = urllib.request.Request(
+                f"{server_url}/auth/login",
+                data=payload,
+                headers={"Content-Type": "application/json"},
+                method="POST"
+            )
+            try:
+                with urllib.request.urlopen(req, timeout=10) as resp:
+                    data = json.loads(resp.read().decode('utf-8'))
+                token = data.get('token', '')
+                if token:
+                    self.config.set('remote.auth_token', token)
+                    self._update_managed_balance()
+                    QMessageBox.information(dialog, "Success", "Logged in successfully.")
+                    dialog.accept()
+                else:
+                    QMessageBox.warning(dialog, "Error", "Login succeeded but no token received.")
+            except urllib.error.HTTPError as e:
+                try:
+                    body = json.loads(e.read().decode('utf-8'))
+                    msg = body.get('detail', body.get('message', str(e)))
+                except Exception:
+                    msg = str(e)
+                QMessageBox.warning(dialog, "Login Failed", msg)
+            except Exception as e:
+                QMessageBox.warning(dialog, "Error", f"Could not connect to server:\n{e}")
+
+        login_btn.clicked.connect(do_login)
+        dialog.exec()
+
+    def _managed_register(self):
+        """Open a registration dialog and create an account on the managed proxy server."""
+        import json
+        import urllib.request
+        import urllib.error
+
+        dialog = QDialog(self)
+        dialog.setWindowTitle("Register")
+        dialog.setMinimumWidth(350)
+        layout = QFormLayout()
+
+        email_input = QLineEdit()
+        email_input.setPlaceholderText("you@example.com")
+        layout.addRow("Email:", email_input)
+
+        password_input = QLineEdit()
+        password_input.setEchoMode(QLineEdit.Password)
+        layout.addRow("Password:", password_input)
+
+        confirm_input = QLineEdit()
+        confirm_input.setEchoMode(QLineEdit.Password)
+        layout.addRow("Confirm Password:", confirm_input)
+
+        button_layout = QHBoxLayout()
+        cancel_btn = QPushButton("Cancel")
+        cancel_btn.clicked.connect(dialog.reject)
+        register_btn = QPushButton("Register")
+        register_btn.setDefault(True)
+        button_layout.addStretch()
+        button_layout.addWidget(cancel_btn)
+        button_layout.addWidget(register_btn)
+        layout.addRow("", button_layout)
+
+        dialog.setLayout(layout)
+
+        def do_register():
+            if password_input.text() != confirm_input.text():
+                QMessageBox.warning(dialog, "Error", "Passwords do not match.")
+                return
+            server_url = self.managed_server_url.text().rstrip('/')
+            if not server_url:
+                QMessageBox.warning(dialog, "Error", "Please enter a Server URL first.")
+                return
+            payload = json.dumps({
+                "email": email_input.text(),
+                "password": password_input.text()
+            }).encode('utf-8')
+            req = urllib.request.Request(
+                f"{server_url}/auth/register",
+                data=payload,
+                headers={"Content-Type": "application/json"},
+                method="POST"
+            )
+            try:
+                with urllib.request.urlopen(req, timeout=10) as resp:
+                    data = json.loads(resp.read().decode('utf-8'))
+                token = data.get('token', '')
+                if token:
+                    self.config.set('remote.auth_token', token)
+                    self._update_managed_balance()
+                    QMessageBox.information(dialog, "Success", "Account created and logged in.")
+                    dialog.accept()
+                else:
+                    QMessageBox.information(dialog, "Success",
+                        "Account created. Please log in.")
+                    dialog.accept()
+            except urllib.error.HTTPError as e:
+                try:
+                    body = json.loads(e.read().decode('utf-8'))
+                    msg = body.get('detail', body.get('message', str(e)))
+                except Exception:
+                    msg = str(e)
+                QMessageBox.warning(dialog, "Registration Failed", msg)
+            except Exception as e:
+                QMessageBox.warning(dialog, "Error", f"Could not connect to server:\n{e}")
+
+        register_btn.clicked.connect(do_register)
+        dialog.exec()
+
+    def _update_managed_balance(self):
+        """Fetch and display the current account balance from the managed proxy server."""
+        import json
+        import urllib.request
+        import urllib.error
+
+        server_url = self.managed_server_url.text().rstrip('/')
+        token = self.config.get('remote.auth_token', '')
+        if not server_url or not token:
+            self.managed_balance_label.setText("Not logged in")
+            return
+
+        req = urllib.request.Request(
+            f"{server_url}/billing/balance",
+            headers={
+                "Authorization": f"Bearer {token}",
+                "Content-Type": "application/json"
+            },
+            method="GET"
+        )
+        try:
+            with urllib.request.urlopen(req, timeout=10) as resp:
+                data = json.loads(resp.read().decode('utf-8'))
+            balance = data.get('balance', data.get('credits', 'N/A'))
+            self.managed_balance_label.setText(str(balance))
+        except urllib.error.HTTPError as e:
+            if e.code == 401:
+                self.managed_balance_label.setText("Session expired - please login again")
+                self.config.set('remote.auth_token', '')
+            else:
+                self.managed_balance_label.setText("Error fetching balance")
+        except Exception:
+            self.managed_balance_label.setText("Could not connect to server")
+
     def _check_for_updates_now(self):
         """Manually check for updates."""
         from version import __version__

index.html

@@ -0,0 +1,13 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <link rel="icon" type="image/png" href="/LocalTranscription.png" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Local Transcription</title>
+  </head>
+  <body>
+    <div id="app"></div>
+    <script type="module" src="/src/main.ts"></script>
+  </body>
+</html>

local-transcription-cloud.spec

@@ -0,0 +1,152 @@
+# -*- mode: python ; coding: utf-8 -*-
+"""PyInstaller spec file for cloud-only Local Transcription backend.
+
+This builds a lightweight sidecar (~50MB) that only supports Deepgram
+cloud transcription (managed + BYOK). No local Whisper models, no
+PyTorch, no CUDA -- just audio capture and WebSocket streaming.
+"""
+
+import sys
+import os
+
+block_cipher = None
+is_windows = sys.platform == 'win32'
+
+from PyInstaller.utils.hooks import collect_submodules, collect_data_files
+
+# Data files
+datas = [
+    ('config/default_config.yaml', 'config'),
+]
+
+# Hidden imports -- only lightweight deps needed for Deepgram streaming
+hiddenimports = [
+    'sounddevice',
+    'numpy',
+    # FastAPI and dependencies
+    'fastapi',
+    'fastapi.routing',
+    'fastapi.responses',
+    'starlette',
+    'starlette.applications',
+    'starlette.routing',
+    'starlette.responses',
+    'starlette.websockets',
+    'starlette.middleware',
+    'starlette.middleware.cors',
+    'pydantic',
+    'pydantic.fields',
+    'pydantic.main',
+    'anyio',
+    'anyio._backends',
+    'anyio._backends._asyncio',
+    'sniffio',
+    # Uvicorn
+    'uvicorn',
+    'uvicorn.logging',
+    'uvicorn.loops',
+    'uvicorn.loops.auto',
+    'uvicorn.protocols',
+    'uvicorn.protocols.http',
+    'uvicorn.protocols.http.auto',
+    'uvicorn.protocols.http.h11_impl',
+    'uvicorn.protocols.websockets',
+    'uvicorn.protocols.websockets.auto',
+    'uvicorn.protocols.websockets.wsproto_impl',
+    'uvicorn.lifespan',
+    'uvicorn.lifespan.on',
+    'h11',
+    'websockets',
+    'websockets.legacy',
+    'websockets.legacy.server',
+    # HTTP client
+    'requests',
+    'urllib3',
+    'certifi',
+    'charset_normalizer',
+]
+
+# Collect submodules for key packages
+print("Collecting submodules for cloud backend packages...")
+for package in ['fastapi', 'starlette', 'pydantic', 'pydantic_core', 'anyio', 'uvicorn', 'websockets', 'h11']:
+    try:
+        submodules = collect_submodules(package)
+        hiddenimports += submodules
+        print(f"  + Collected {len(submodules)} submodules from {package}")
+    except Exception as e:
+        print(f"  - Warning: Could not collect {package}: {e}")
+
+# Collect data files
+for package in ['fastapi', 'starlette', 'pydantic', 'uvicorn']:
+    try:
+        data_files = collect_data_files(package)
+        if data_files:
+            datas += data_files
+    except Exception:
+        pass
+
+# Pydantic critical deps
+hiddenimports += [
+    'colorsys', 'decimal', 'json', 'ipaddress', 'pathlib', 'uuid',
+    'email.message', 'typing_extensions',
+]
+
+a = Analysis(
+    ['backend/main_headless.py'],
+    pathex=[],
+    binaries=[],
+    datas=datas,
+    hiddenimports=hiddenimports,
+    hookspath=['hooks'],
+    hooksconfig={},
+    runtime_hooks=[],
+    excludes=[
+        # Exclude all heavy ML/local transcription deps
+        'torch', 'torchaudio', 'torchvision',
+        'faster_whisper', 'ctranslate2',
+        'RealtimeSTT', 'webrtcvad', 'webrtcvad_wheels',
+        'silero_vad', 'onnxruntime',
+        'openwakeword', 'pvporcupine', 'pyaudio',
+        'noisereduce', 'scipy',
+        # Exclude GUI frameworks
+        'PySide6', 'PyQt5', 'PyQt6', 'tkinter',
+        # Exclude other unnecessary heavy packages
+        'matplotlib', 'PIL', 'cv2',
+    ],
+    win_no_prefer_redirects=False,
+    win_private_assemblies=False,
+    cipher=block_cipher,
+    noarchive=False,
+)
+
+pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
+
+exe = EXE(
+    pyz,
+    a.scripts,
+    [],
+    exclude_binaries=True,
+    name='local-transcription-backend',
+    debug=False,
+    bootloader_ignore_signals=False,
+    strip=False,
+    upx=True,
+    console=True,
+    disable_windowed_traceback=False,
+    argv_emulation=False,
+    target_arch=None,
+    codesign_identity=None,
+    entitlements_file=None,
+    icon='LocalTranscription.ico' if is_windows else None,
+)
+
+coll = COLLECT(
+    exe,
+    a.binaries,
+    a.zipfiles,
+    a.datas,
+    strip=False,
+    upx=True,
+    upx_exclude=[],
+    name='local-transcription-backend',
+)

local-transcription-headless.spec

@@ -0,0 +1,184 @@
+# -*- mode: python ; coding: utf-8 -*-
+"""PyInstaller spec file for headless Local Transcription backend (no PySide6/Qt).
+
+This builds the Python sidecar for the Tauri frontend.
+Much simpler than local-transcription.spec since all Qt dependencies are removed.
+"""
+
+import sys
+import os
+
+block_cipher = None
+is_windows = sys.platform == 'win32'
+
+from PyInstaller.utils.hooks import collect_submodules, collect_data_files
+
+# Find faster_whisper assets folder
+import faster_whisper
+faster_whisper_path = os.path.dirname(faster_whisper.__file__)
+vad_assets_path = os.path.join(faster_whisper_path, 'assets')
+
+# pvporcupine resources (indirect dependency from RealtimeSTT)
+try:
+    import pvporcupine
+    pvporcupine_path = os.path.dirname(pvporcupine.__file__)
+    pvporcupine_resources = os.path.join(pvporcupine_path, 'resources')
+    pvporcupine_lib = os.path.join(pvporcupine_path, 'lib')
+    pvporcupine_data_files = []
+    if os.path.exists(pvporcupine_resources):
+        pvporcupine_data_files.append((pvporcupine_resources, 'pvporcupine/resources'))
+    if os.path.exists(pvporcupine_lib):
+        pvporcupine_data_files.append((pvporcupine_lib, 'pvporcupine/lib'))
+except ImportError:
+    pvporcupine_data_files = []
+
+# Data files
+datas = [
+    ('config/default_config.yaml', 'config'),
+    (vad_assets_path, 'faster_whisper/assets'),
+] + pvporcupine_data_files
+
+# Hidden imports -- NO PySide6/Qt needed for headless backend
+hiddenimports = [
+    # Transcription engine
+    'faster_whisper',
+    'faster_whisper.transcribe',
+    'faster_whisper.vad',
+    'ctranslate2',
+    'sounddevice',
+    'scipy',
+    'scipy.signal',
+    'numpy',
+    # RealtimeSTT
+    'RealtimeSTT',
+    'RealtimeSTT.audio_recorder',
+    'webrtcvad',
+    'webrtcvad_wheels',
+    'silero_vad',
+    # PyTorch
+    'torch',
+    'torch.nn',
+    'torch.nn.functional',
+    'torchaudio',
+    'onnxruntime',
+    'onnxruntime.capi',
+    'onnxruntime.capi.onnxruntime_pybind11_state',
+    'pyaudio',
+    'halo',
+    'colorama',
+    # FastAPI and dependencies
+    'fastapi',
+    'fastapi.routing',
+    'fastapi.responses',
+    'starlette',
+    'starlette.applications',
+    'starlette.routing',
+    'starlette.responses',
+    'starlette.websockets',
+    'starlette.middleware',
+    'starlette.middleware.cors',
+    'pydantic',
+    'pydantic.fields',
+    'pydantic.main',
+    'anyio',
+    'anyio._backends',
+    'anyio._backends._asyncio',
+    'sniffio',
+    # Uvicorn
+    'uvicorn',
+    'uvicorn.logging',
+    'uvicorn.loops',
+    'uvicorn.loops.auto',
+    'uvicorn.protocols',
+    'uvicorn.protocols.http',
+    'uvicorn.protocols.http.auto',
+    'uvicorn.protocols.http.h11_impl',
+    'uvicorn.protocols.websockets',
+    'uvicorn.protocols.websockets.auto',
+    'uvicorn.protocols.websockets.wsproto_impl',
+    'uvicorn.lifespan',
+    'uvicorn.lifespan.on',
+    'h11',
+    'websockets',
+    'websockets.legacy',
+    'websockets.legacy.server',
+    # HTTP client
+    'requests',
+    'urllib3',
+    'certifi',
+    'charset_normalizer',
+]
+
+# Collect submodules for key packages
+print("Collecting submodules for backend packages...")
+for package in ['fastapi', 'starlette', 'pydantic', 'pydantic_core', 'anyio', 'uvicorn', 'websockets', 'h11', 'httptools', 'uvloop']:
+    try:
+        submodules = collect_submodules(package)
+        hiddenimports += submodules
+        print(f"  + Collected {len(submodules)} submodules from {package}")
+    except Exception as e:
+        print(f"  - Warning: Could not collect {package}: {e}")
+
+# Collect data files
+for package in ['fastapi', 'starlette', 'pydantic', 'uvicorn', 'RealtimeSTT']:
+    try:
+        data_files = collect_data_files(package)
+        if data_files:
+            datas += data_files
+            print(f"  + Collected {len(data_files)} data files from {package}")
+    except Exception:
+        pass
+
+# Pydantic critical deps
+hiddenimports += [
+    'colorsys', 'decimal', 'json', 'ipaddress', 'pathlib', 'uuid',
+    'email.message', 'typing_extensions',
+]
+
+a = Analysis(
+    ['backend/main_headless.py'],
+    pathex=[],
+    binaries=[],
+    datas=datas,
+    hiddenimports=hiddenimports,
+    hookspath=['hooks'],
+    hooksconfig={},
+    runtime_hooks=[],
+    excludes=['enum34', 'PySide6', 'PyQt5', 'PyQt6', 'tkinter'],
+    win_no_prefer_redirects=False,
+    win_private_assemblies=False,
+    cipher=block_cipher,
+    noarchive=False,
+)
+
+pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
+
+exe = EXE(
+    pyz,
+    a.scripts,
+    [],
+    exclude_binaries=True,
+    name='local-transcription-backend',
+    debug=False,
+    bootloader_ignore_signals=False,
+    strip=False,
+    upx=True,
+    console=True,  # Headless backend needs console for JSON output
+    disable_windowed_traceback=False,
+    argv_emulation=False,
+    target_arch=None,
+    codesign_identity=None,
+    entitlements_file=None,
+    icon='LocalTranscription.ico' if is_windows else None,
+)
+
+coll = COLLECT(
+    exe,
+    a.binaries,
+    a.zipfiles,
+    a.datas,
+    strip=False,
+    upx=True,
+    upx_exclude=[],
+    name='local-transcription-backend',
+)

package.json

@@ -0,0 +1,30 @@
+{
+  "name": "local-transcription",
+  "private": true,
+  "version": "2.0.8",
+  "type": "module",
+  "scripts": {
+    "dev": "vite dev",
+    "build": "vite build",
+    "preview": "vite preview",
+    "tauri": "tauri"
+  },
+  "devDependencies": {
+    "@sveltejs/vite-plugin-svelte": "^5.0.0",
+    "@tauri-apps/cli": "^2.0.0",
+    "@testing-library/svelte": "^5.3.1",
+    "@tsconfig/svelte": "^5.0.0",
+    "jsdom": "^29.0.2",
+    "svelte": "^5.0.0",
+    "svelte-check": "^4.0.0",
+    "typescript": "~5.6.0",
+    "vite": "^6.0.0",
+    "vitest": "^4.1.3"
+  },
+  "dependencies": {
+    "@tauri-apps/api": "^2.0.0",
+    "@tauri-apps/plugin-dialog": "^2.0.0",
+    "@tauri-apps/plugin-process": "^2.0.0",
+    "@tauri-apps/plugin-shell": "^2.0.0"
+  }
+}

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "local-transcription"
-version = "1.0.0"
+version = "1.0.7"
 description = "A standalone desktop application for real-time speech-to-text transcription using Whisper models"
 readme = "README.md"
 requires-python = ">=3.9"

src-tauri/Cargo.toml

@@ -0,0 +1,30 @@
+[package]
+name = "local-transcription"
+version = "2.0.8"
+description = "Real-time speech-to-text transcription for streamers"
+authors = ["Local Transcription Contributors"]
+edition = "2021"
+
+[lib]
+name = "local_transcription_lib"
+crate-type = ["lib", "cdylib", "staticlib"]
+
+[build-dependencies]
+tauri-build = { version = "2", features = [] }
+
+[dependencies]
+tauri = { version = "2", features = [] }
+tauri-plugin-shell = "2"
+tauri-plugin-dialog = "2"
+tauri-plugin-process = "2"
+serde = { version = "1", features = ["derive"] }
+serde_json = "1"
+reqwest = { version = "0.12", features = ["json", "stream"] }
+futures-util = "0.3"
+zip = { version = "2", default-features = false, features = ["deflate"] }
+bytes = "1"
+tokio = { version = "1", features = ["full"] }
+chrono = "0.4"
+
+[dev-dependencies]
+tempfile = "3"

src-tauri/build.rs

@@ -0,0 +1,3 @@
+fn main() {
+    tauri_build::build()
+}

src-tauri/capabilities/default.json

@@ -0,0 +1,14 @@
+{
+  "identifier": "default",
+  "description": "Default permissions for the main window",
+  "windows": ["main"],
+  "permissions": [
+    "core:default",
+    "core:event:default",
+    "core:event:allow-listen",
+    "core:event:allow-emit",
+    "shell:default",
+    "dialog:default",
+    "process:default"
+  ]
+}

src-tauri/gen/schemas/capabilities.json

@@ -0,0 +1 @@
+{"default":{"identifier":"default","description":"Default permissions for the main window","local":true,"windows":["main"],"permissions":["core:default","core:event:default","core:event:allow-listen","core:event:allow-emit","shell:default","dialog:default","process:default"]}}

src-tauri/src/lib.rs

@@ -0,0 +1,76 @@
+mod sidecar;
+
+use std::sync::Mutex;
+use tauri::Manager;
+
+/// App log directory, set during setup.
+static LOG_DIR: std::sync::OnceLock<std::path::PathBuf> = std::sync::OnceLock::new();
+
+/// Write a log message to the app's log file (for debugging).
+#[tauri::command]
+fn write_log(message: String) {
+    if let Some(log_dir) = LOG_DIR.get() {
+        let log_path = log_dir.join("frontend.log");
+        use std::io::Write;
+        if let Ok(mut f) = std::fs::OpenOptions::new()
+            .create(true)
+            .append(true)
+            .open(&log_path)
+        {
+            let _ = writeln!(f, "[{}] {}", chrono::Local::now().format("%H:%M:%S%.3f"), message);
+        }
+    }
+    eprintln!("[frontend] {}", message);
+}
+
+#[cfg_attr(mobile, tauri::mobile_entry_point)]
+pub fn run() {
+    tauri::Builder::default()
+        .plugin(tauri_plugin_shell::init())
+        .plugin(tauri_plugin_dialog::init())
+        .plugin(tauri_plugin_process::init())
+        .manage(sidecar::ManagedSidecar(std::sync::Arc::new(Mutex::new(
+            sidecar::SidecarManager::new(),
+        ))))
+        .setup(|app| {
+            let resource_dir = app
+                .path()
+                .resource_dir()
+                .expect("failed to resolve resource dir");
+            let data_dir = app
+                .path()
+                .app_data_dir()
+                .expect("failed to resolve app data dir");
+
+            std::fs::create_dir_all(&data_dir).expect("failed to create app data dir");
+
+            // Set up logging
+            LOG_DIR.set(data_dir.clone()).ok();
+            let log_path = data_dir.join("app.log");
+            if let Ok(mut f) = std::fs::OpenOptions::new()
+                .create(true)
+                .append(true)
+                .open(&log_path)
+            {
+                use std::io::Write;
+                let _ = writeln!(f, "\n=== App started at {} ===", chrono::Local::now());
+                let _ = writeln!(f, "Resource dir: {}", resource_dir.display());
+                let _ = writeln!(f, "Data dir: {}", data_dir.display());
+            }
+
+            sidecar::init_dirs(resource_dir, data_dir);
+            Ok(())
+        })
+        .invoke_handler(tauri::generate_handler![
+            sidecar::check_sidecar,
+            sidecar::download_sidecar,
+            sidecar::check_sidecar_update,
+            sidecar::get_sidecar_port,
+            sidecar::start_sidecar,
+            sidecar::stop_sidecar,
+            sidecar::reset_sidecar,
+            write_log,
+        ])
+        .run(tauri::generate_context!())
+        .expect("error while running tauri application");
+}

src-tauri/src/main.rs

@@ -0,0 +1,6 @@
+// Prevents additional console window on Windows in release
+#![cfg_attr(not(debug_assertions), windows_subsystem = "windows")]
+
+fn main() {
+    local_transcription_lib::run()
+}

src-tauri/tauri.conf.json

@@ -0,0 +1,43 @@
+{
+  "productName": "Local Transcription",
+  "version": "2.0.8",
+  "identifier": "net.anhonesthost.local-transcription",
+  "build": {
+    "frontendDist": "../dist",
+    "devUrl": "http://localhost:1420",
+    "beforeDevCommand": "npm run dev",
+    "beforeBuildCommand": "npm run build"
+  },
+  "app": {
+    "windows": [
+      {
+        "title": "Local Transcription",
+        "width": 800,
+        "height": 600,
+        "minWidth": 640,
+        "minHeight": 480,
+        "resizable": true
+      }
+    ],
+    "security": {
+      "csp": null
+    }
+  },
+  "bundle": {
+    "active": true,
+    "targets": "all",
+    "icon": [
+      "icons/32x32.png",
+      "icons/128x128.png",
+      "icons/128x128@2x.png",
+      "icons/icon.icns",
+      "icons/icon.ico",
+      "icons/icon.png"
+    ]
+  },
+  "plugins": {
+    "shell": {
+      "open": true
+    }
+  }
+}

src/App.svelte

@@ -0,0 +1,312 @@
+<script lang="ts">
+  import { onMount } from "svelte";
+  import Header from "$lib/components/Header.svelte";
+  import StatusBar from "$lib/components/StatusBar.svelte";
+  import Controls from "$lib/components/Controls.svelte";
+  import TranscriptionDisplay from "$lib/components/TranscriptionDisplay.svelte";
+  import Settings from "$lib/components/Settings.svelte";
+  import SidecarSetup from "$lib/components/SidecarSetup.svelte";
+  import { backendStore } from "$lib/stores/backend";
+  import { configStore } from "$lib/stores/config";
+
+  type SidecarState = "checking" | "needs_setup" | "update_available" | "starting" | "connected";
+
+  let showSettings = $state(false);
+  let sidecarState = $state<SidecarState>("checking");
+  let debugLog = $state("");
+  let availableUpdate = $state("");
+
+  let obsDisplayUrl = $derived(backendStore.obsUrl);
+  let syncDisplayUrl = $derived(backendStore.syncUrl);
+  let isConnected = $derived(backendStore.connectionState === "connected");
+  let connectionState = $derived(backendStore.connectionState);
+
+  function openSettings() {
+    showSettings = true;
+  }
+
+  function closeSettings() {
+    showSettings = false;
+  }
+
+  let tauriInvoke: ((cmd: string, args?: Record<string, unknown>) => Promise<unknown>) | null = null;
+
+  function log(msg: string) {
+    console.log(`[App] ${msg}`);
+    debugLog = msg;
+    // Also write to file via Tauri if available
+    tauriInvoke?.("write_log", { message: msg });
+  }
+
+  async function checkAndLaunchSidecar() {
+    try {
+      log("Importing Tauri API...");
+      const { invoke } = await import("@tauri-apps/api/core");
+      tauriInvoke = invoke;
+
+      log("Checking if sidecar is installed...");
+      sidecarState = "checking";
+      const installed = await invoke<boolean>("check_sidecar");
+      log(`Sidecar installed: ${installed}`);
+
+      if (!installed) {
+        sidecarState = "needs_setup";
+        return;
+      }
+
+      // Check for sidecar updates before launching
+      try {
+        log("Checking for sidecar updates...");
+        const update = await invoke<string | null>("check_sidecar_update");
+        if (update) {
+          log(`Sidecar update available: ${update}`);
+          availableUpdate = update;
+          sidecarState = "update_available";
+          return;
+        }
+      } catch (err) {
+        log(`Update check failed (non-fatal): ${err}`);
+      }
+
+      await launchSidecar();
+    } catch (err) {
+      // Not running in Tauri (browser dev mode) - skip sidecar check
+      // and connect directly to localhost:8081
+      log(`Tauri not available (${err}), using dev mode`);
+      sidecarState = "starting";
+      backendStore.setPort(8081);
+      backendStore.connect();
+      configStore.fetchConfig();
+    }
+  }
+
+  async function launchSidecar() {
+    try {
+      const { invoke } = await import("@tauri-apps/api/core");
+
+      log("Starting sidecar...");
+      sidecarState = "starting";
+      await invoke("start_sidecar");
+
+      log("Getting sidecar port...");
+      const port = await invoke<number>("get_sidecar_port");
+      log(`Sidecar ready on port ${port}`);
+      backendStore.setPort(port);
+      backendStore.connect();
+      configStore.fetchConfig();
+    } catch (err) {
+      // If sidecar launch fails, still try connecting to default port
+      log(`Sidecar launch failed: ${err}, trying default port`);
+      sidecarState = "starting";
+      backendStore.connect();
+      configStore.fetchConfig();
+    }
+  }
+
+  async function onSidecarReady() {
+    await launchSidecar();
+  }
+
+  onMount(() => {
+    checkAndLaunchSidecar();
+
+    return () => {
+      backendStore.disconnect();
+    };
+  });
+</script>
+
+{#if sidecarState === "checking"}
+  <div class="connecting-overlay" style="background:#1e1e1e;color:#e0e0e0;display:flex;align-items:center;justify-content:center;height:100%;width:100%;">
+    <div class="connecting-content" style="text-align:center;">
+      <div class="connecting-icon">
+        <div class="spinner"></div>
+      </div>
+      <h2 style="font-size:20px;margin:16px 0 8px;">Local Transcription</h2>
+      <p style="color:#a0a0a0;font-size:14px;">Checking setup...</p>
+      {#if debugLog}
+        <p style="color:#707070;font-size:11px;margin-top:12px;">{debugLog}</p>
+      {/if}
+    </div>
+  </div>
+
+{:else if sidecarState === "needs_setup"}
+  <SidecarSetup onComplete={onSidecarReady} />
+
+{:else if sidecarState === "update_available"}
+  <div class="connecting-overlay" style="background:#1e1e1e;color:#e0e0e0;display:flex;align-items:center;justify-content:center;height:100%;width:100%;">
+    <div class="connecting-content" style="text-align:center;max-width:400px;">
+      <h2 style="font-size:20px;margin:0 0 12px;">Sidecar Update Available</h2>
+      <p style="color:#a0a0a0;font-size:14px;margin:0 0 20px;">
+        A new version of the transcription engine is available ({availableUpdate}).
+      </p>
+      <div style="display:flex;gap:10px;justify-content:center;">
+        <button
+          style="padding:8px 20px;border:1px solid #555;border-radius:6px;background:transparent;color:#e0e0e0;cursor:pointer;"
+          onclick={() => launchSidecar()}
+        >Skip</button>
+        <button
+          style="padding:8px 20px;border:none;border-radius:6px;background:#4CAF50;color:white;cursor:pointer;font-weight:500;"
+          onclick={() => { sidecarState = "needs_setup"; }}
+        >Update Now</button>
+      </div>
+    </div>
+  </div>
+
+{:else if !isConnected}
+  <div class="connecting-overlay" style="background:#1e1e1e;color:#e0e0e0;display:flex;align-items:center;justify-content:center;height:100%;width:100%;">
+    <div class="connecting-content" style="text-align:center;">
+      <div class="connecting-icon">
+        {#if connectionState === "error"}
+          <svg width="48" height="48" viewBox="0 0 24 24" fill="none" stroke="#e74c3c" stroke-width="2">
+            <circle cx="12" cy="12" r="10"/>
+            <line x1="15" y1="9" x2="9" y2="15"/>
+            <line x1="9" y1="9" x2="15" y2="15"/>
+          </svg>
+        {:else}
+          <div class="spinner"></div>
+        {/if}
+      </div>
+      <h2 style="font-size:20px;margin:16px 0 8px;">Local Transcription</h2>
+      {#if connectionState === "error"}
+        <p style="color:#a0a0a0;">Cannot connect to backend</p>
+        <p class="hint">Make sure the Python backend is running:<br>
+          <code>uv run python -m backend.main_headless</code></p>
+      {:else}
+        <p style="color:#a0a0a0;">Connecting to backend...</p>
+      {/if}
+      {#if debugLog}
+        <p style="color:#707070;font-size:11px;margin-top:12px;">{debugLog}</p>
+      {/if}
+    </div>
+  </div>
+
+{:else}
+  <div class="app-shell">
+    <Header onSettingsClick={openSettings} />
+    <StatusBar />
+
+    <div class="display-links">
+      <span class="link-label">OBS:</span>
+      <a href={obsDisplayUrl} target="_blank" rel="noopener">{obsDisplayUrl}</a>
+      {#if syncDisplayUrl}
+        <span class="link-separator">|</span>
+        <span class="link-label">Sync:</span>
+        <a href={syncDisplayUrl} target="_blank" rel="noopener"
+          >{syncDisplayUrl}</a
+        >
+      {/if}
+    </div>
+
+    <TranscriptionDisplay />
+    <Controls />
+
+    <div class="version-label">v{backendStore.version}</div>
+  </div>
+
+  {#if showSettings}
+    <Settings onClose={closeSettings} />
+  {/if}
+{/if}
+
+<style>
+  .connecting-overlay {
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    height: 100%;
+    width: 100%;
+    background-color: var(--bg-primary);
+  }
+
+  .connecting-content {
+    text-align: center;
+    color: var(--text-primary);
+  }
+
+  .connecting-content h2 {
+    margin: 16px 0 8px;
+    font-size: 20px;
+    font-weight: 600;
+  }
+
+  .connecting-content p {
+    margin: 4px 0;
+    color: var(--text-secondary);
+    font-size: 14px;
+  }
+
+  .connecting-content .hint {
+    margin-top: 16px;
+    font-size: 12px;
+    color: var(--text-muted);
+  }
+
+  .connecting-content code {
+    display: inline-block;
+    margin-top: 4px;
+    padding: 4px 8px;
+    background: var(--bg-tertiary);
+    border-radius: 4px;
+    font-size: 12px;
+    color: var(--text-primary);
+  }
+
+  .connecting-icon {
+    display: flex;
+    justify-content: center;
+    margin-bottom: 8px;
+  }
+
+  .spinner {
+    width: 40px;
+    height: 40px;
+    border: 3px solid var(--border-color);
+    border-top-color: var(--accent-color, #4CAF50);
+    border-radius: 50%;
+    animation: spin 0.8s linear infinite;
+  }
+
+  @keyframes spin {
+    to { transform: rotate(360deg); }
+  }
+
+  .app-shell {
+    display: flex;
+    flex-direction: column;
+    height: 100%;
+    width: 100%;
+    background-color: var(--bg-primary);
+  }
+
+  .display-links {
+    display: flex;
+    align-items: center;
+    gap: 6px;
+    padding: 6px 20px;
+    font-size: 12px;
+    background-color: var(--bg-primary);
+    border-bottom: 1px solid var(--border-color);
+    flex-shrink: 0;
+  }
+
+  .link-label {
+    color: var(--text-secondary);
+    font-weight: 500;
+  }
+
+  .link-separator {
+    color: var(--text-muted);
+    margin: 0 4px;
+  }
+
+  .version-label {
+    position: fixed;
+    bottom: 6px;
+    right: 12px;
+    font-size: 11px;
+    color: var(--text-muted);
+    pointer-events: none;
+    z-index: 10;
+  }
+</style>

src/app.css

@@ -0,0 +1,312 @@
+/* Global dark theme styles for Local Transcription */
+
+:root {
+  --bg-primary: #1e1e1e;
+  --bg-secondary: #2d2d2d;
+  --bg-tertiary: #3a3a3a;
+  --bg-hover: #454545;
+  --text-primary: #e0e0e0;
+  --text-secondary: #a0a0a0;
+  --text-muted: #707070;
+  --accent-green: #4caf50;
+  --accent-green-hover: #45a049;
+  --accent-red: #f44336;
+  --accent-red-hover: #d32f2f;
+  --accent-blue: #2196f3;
+  --accent-blue-hover: #1976d2;
+  --accent-orange: #ff9800;
+  --border-color: #444;
+  --border-color-light: #555;
+  --scrollbar-track: #2d2d2d;
+  --scrollbar-thumb: #555;
+  --scrollbar-thumb-hover: #777;
+}
+
+*,
+*::before,
+*::after {
+  box-sizing: border-box;
+  margin: 0;
+  padding: 0;
+}
+
+html,
+body {
+  height: 100%;
+  width: 100%;
+  overflow: hidden;
+}
+
+body {
+  background-color: var(--bg-primary);
+  color: var(--text-primary);
+  font-family: system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
+    "Helvetica Neue", Arial, sans-serif;
+  font-size: 14px;
+  line-height: 1.5;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+}
+
+#app {
+  height: 100%;
+  width: 100%;
+  display: flex;
+  flex-direction: column;
+}
+
+/* Buttons */
+button {
+  font-family: inherit;
+  font-size: 13px;
+  font-weight: 500;
+  padding: 8px 16px;
+  border: 1px solid var(--border-color);
+  border-radius: 6px;
+  background-color: var(--bg-secondary);
+  color: var(--text-primary);
+  cursor: pointer;
+  transition: background-color 0.15s ease, border-color 0.15s ease,
+    transform 0.1s ease;
+  user-select: none;
+}
+
+button:hover {
+  background-color: var(--bg-hover);
+  border-color: var(--border-color-light);
+}
+
+button:active {
+  transform: scale(0.98);
+}
+
+button:disabled {
+  opacity: 0.5;
+  cursor: not-allowed;
+  transform: none;
+}
+
+button.primary {
+  background-color: var(--accent-green);
+  border-color: var(--accent-green);
+  color: white;
+}
+
+button.primary:hover {
+  background-color: var(--accent-green-hover);
+}
+
+button.danger {
+  background-color: var(--accent-red);
+  border-color: var(--accent-red);
+  color: white;
+}
+
+button.danger:hover {
+  background-color: var(--accent-red-hover);
+}
+
+/* Inputs and Selects */
+input[type="text"],
+input[type="password"],
+input[type="number"],
+input[type="url"],
+input[type="email"],
+select,
+textarea {
+  font-family: inherit;
+  font-size: 13px;
+  padding: 8px 12px;
+  border: 1px solid var(--border-color);
+  border-radius: 6px;
+  background-color: var(--bg-secondary);
+  color: var(--text-primary);
+  outline: none;
+  transition: border-color 0.15s ease;
+  width: 100%;
+}
+
+input[type="text"]:focus,
+input[type="password"]:focus,
+input[type="number"]:focus,
+input[type="url"]:focus,
+input[type="email"]:focus,
+select:focus,
+textarea:focus {
+  border-color: var(--accent-blue);
+}
+
+input[type="text"]::placeholder,
+input[type="password"]::placeholder,
+input[type="url"]::placeholder {
+  color: var(--text-muted);
+}
+
+select {
+  appearance: none;
+  background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='12' height='12' viewBox='0 0 12 12'%3E%3Cpath fill='%23a0a0a0' d='M6 8L1 3h10z'/%3E%3C/svg%3E");
+  background-repeat: no-repeat;
+  background-position: right 10px center;
+  padding-right: 30px;
+}
+
+/* Color input */
+input[type="color"] {
+  width: 50px;
+  height: 36px;
+  border: 1px solid var(--border-color);
+  border-radius: 6px;
+  background-color: var(--bg-secondary);
+  cursor: pointer;
+  padding: 2px;
+}
+
+input[type="color"]::-webkit-color-swatch-wrapper {
+  padding: 2px;
+}
+
+input[type="color"]::-webkit-color-swatch {
+  border: none;
+  border-radius: 3px;
+}
+
+/* Range slider */
+input[type="range"] {
+  -webkit-appearance: none;
+  appearance: none;
+  width: 100%;
+  height: 6px;
+  background: var(--bg-tertiary);
+  border-radius: 3px;
+  outline: none;
+  cursor: pointer;
+}
+
+input[type="range"]::-webkit-slider-thumb {
+  -webkit-appearance: none;
+  appearance: none;
+  width: 16px;
+  height: 16px;
+  border-radius: 50%;
+  background: var(--accent-blue);
+  cursor: pointer;
+  border: 2px solid var(--bg-primary);
+}
+
+input[type="range"]::-moz-range-thumb {
+  width: 16px;
+  height: 16px;
+  border-radius: 50%;
+  background: var(--accent-blue);
+  cursor: pointer;
+  border: 2px solid var(--bg-primary);
+}
+
+/* Toggle / Checkbox styled as switch */
+input[type="checkbox"] {
+  position: relative;
+  width: 40px;
+  height: 22px;
+  -webkit-appearance: none;
+  appearance: none;
+  background-color: var(--bg-tertiary);
+  border-radius: 11px;
+  cursor: pointer;
+  transition: background-color 0.2s ease;
+  flex-shrink: 0;
+}
+
+input[type="checkbox"]::after {
+  content: "";
+  position: absolute;
+  top: 2px;
+  left: 2px;
+  width: 18px;
+  height: 18px;
+  background-color: var(--text-secondary);
+  border-radius: 50%;
+  transition: transform 0.2s ease, background-color 0.2s ease;
+}
+
+input[type="checkbox"]:checked {
+  background-color: var(--accent-green);
+}
+
+input[type="checkbox"]:checked::after {
+  transform: translateX(18px);
+  background-color: white;
+}
+
+/* Radio buttons */
+input[type="radio"] {
+  -webkit-appearance: none;
+  appearance: none;
+  width: 18px;
+  height: 18px;
+  border: 2px solid var(--border-color);
+  border-radius: 50%;
+  background-color: var(--bg-secondary);
+  cursor: pointer;
+  position: relative;
+  flex-shrink: 0;
+}
+
+input[type="radio"]:checked {
+  border-color: var(--accent-blue);
+}
+
+input[type="radio"]:checked::after {
+  content: "";
+  position: absolute;
+  top: 3px;
+  left: 3px;
+  width: 8px;
+  height: 8px;
+  background-color: var(--accent-blue);
+  border-radius: 50%;
+}
+
+/* Scrollbar */
+::-webkit-scrollbar {
+  width: 8px;
+  height: 8px;
+}
+
+::-webkit-scrollbar-track {
+  background: var(--scrollbar-track);
+  border-radius: 4px;
+}
+
+::-webkit-scrollbar-thumb {
+  background: var(--scrollbar-thumb);
+  border-radius: 4px;
+}
+
+::-webkit-scrollbar-thumb:hover {
+  background: var(--scrollbar-thumb-hover);
+}
+
+/* Firefox scrollbar */
+* {
+  scrollbar-width: thin;
+  scrollbar-color: var(--scrollbar-thumb) var(--scrollbar-track);
+}
+
+/* Links */
+a {
+  color: var(--accent-blue);
+  text-decoration: none;
+}
+
+a:hover {
+  text-decoration: underline;
+}
+
+/* Label */
+label {
+  font-size: 13px;
+  color: var(--text-secondary);
+  display: flex;
+  align-items: center;
+  gap: 8px;
+}

src/lib/components/Controls.svelte

@@ -0,0 +1,119 @@
+<script lang="ts">
+  import { backendStore } from "$lib/stores/backend";
+  import { transcriptionStore } from "$lib/stores/transcriptions";
+
+  let isTranscribing = $derived(backendStore.appState === "transcribing");
+  let isReady = $derived(
+    backendStore.appState === "ready" || backendStore.appState === "transcribing"
+  );
+  let isLoading = $state(false);
+
+  async function toggleTranscription() {
+    if (isLoading) return;
+    isLoading = true;
+    try {
+      if (isTranscribing) {
+        await backendStore.apiPost("/api/stop");
+      } else {
+        await backendStore.apiPost("/api/start");
+      }
+      // Poll status to update UI immediately instead of waiting
+      // for WebSocket broadcast (which can be delayed or missed)
+      await backendStore.pollStatus();
+    } catch (err) {
+      console.error("Failed to toggle transcription:", err);
+    } finally {
+      isLoading = false;
+    }
+  }
+
+  async function clearTranscriptions() {
+    try {
+      await backendStore.apiPost("/api/clear");
+      transcriptionStore.clearAll();
+    } catch (err) {
+      console.error("Failed to clear:", err);
+    }
+  }
+
+  async function saveTranscriptions() {
+    try {
+      // Get transcription text from backend or local store
+      let text: string;
+      try {
+        const data = await backendStore.apiGet<{ text: string }>("/api/transcriptions");
+        text = data.text || transcriptionStore.getPlainText();
+      } catch {
+        text = transcriptionStore.getPlainText();
+      }
+
+      if (!text.trim()) {
+        console.warn("No transcriptions to save");
+        return;
+      }
+
+      // Try Tauri dialog for native save, fall back to browser download
+      try {
+        const { save } = await import("@tauri-apps/plugin-dialog");
+        const filePath = await save({
+          defaultPath: "transcription.txt",
+          filters: [
+            { name: "Text Files", extensions: ["txt"] },
+            { name: "All Files", extensions: ["*"] },
+          ],
+        });
+        if (filePath) {
+          // Write via backend API
+          await backendStore.apiPost("/api/save-file", { path: filePath, text });
+        }
+      } catch {
+        // Fallback: browser-style download
+        const blob = new Blob([text], { type: "text/plain" });
+        const url = URL.createObjectURL(blob);
+        const a = document.createElement("a");
+        a.href = url;
+        a.download = "transcription.txt";
+        a.click();
+        URL.revokeObjectURL(url);
+      }
+    } catch (err) {
+      console.error("Failed to save:", err);
+    }
+  }
+</script>
+
+<div class="controls">
+  <button
+    class={isTranscribing ? "danger" : "primary"}
+    onclick={toggleTranscription}
+    disabled={!isReady || isLoading}
+  >
+    {#if isLoading}
+      ...
+    {:else if isTranscribing}
+      Stop Transcription
+    {:else}
+      Start Transcription
+    {/if}
+  </button>
+
+  <button onclick={clearTranscriptions} disabled={!backendStore.connected}>
+    Clear
+  </button>
+
+  <button onclick={saveTranscriptions} disabled={!backendStore.connected}>
+    Save
+  </button>
+</div>
+
+<style>
+  .controls {
+    display: flex;
+    align-items: center;
+    gap: 8px;
+    padding: 10px 20px;
+    background-color: var(--bg-secondary);
+    border-top: 1px solid var(--border-color);
+    flex-shrink: 0;
+  }
+</style>

src/lib/components/Header.svelte

@@ -0,0 +1,82 @@
+<script lang="ts">
+  interface Props {
+    onSettingsClick: () => void;
+  }
+
+  let { onSettingsClick }: Props = $props();
+</script>
+
+<header class="app-header">
+  <h1 class="app-title">Local Transcription</h1>
+  <button class="settings-btn" onclick={onSettingsClick} title="Settings">
+    <svg
+      width="20"
+      height="20"
+      viewBox="0 0 24 24"
+      fill="none"
+      stroke="currentColor"
+      stroke-width="2"
+      stroke-linecap="round"
+      stroke-linejoin="round"
+    >
+      <circle cx="12" cy="12" r="3"></circle>
+      <path
+        d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1
+        0 2.83 2 2 0 0 1-2.83 0l-.06-.06a1.65 1.65 0 0
+        0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-2
+        2 2 2 0 0 1-2-2v-.09A1.65 1.65 0 0 0 9 19.4a1.65
+        1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83 0 2 2
+        0 0 1 0-2.83l.06-.06A1.65 1.65 0 0 0 4.68
+        15a1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1-2-2 2 2 0
+        0 1 2-2h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0
+        0-.33-1.82l-.06-.06a2 2 0 0 1 0-2.83 2 2 0 0 1
+        2.83 0l.06.06A1.65 1.65 0 0 0 9 4.68a1.65 1.65 0
+        0 0 1-1.51V3a2 2 0 0 1 2-2 2 2 0 0 1 2
+        2v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0
+        1.82-.33l.06-.06a2 2 0 0 1 2.83 0 2 2 0 0 1 0
+        2.83l-.06.06a1.65 1.65 0 0 0-.33 1.82V9a1.65 1.65
+        0 0 0 1.51 1H21a2 2 0 0 1 2 2 2 2 0 0
+        1-2 2h-.09a1.65 1.65 0 0 0-1.51 1z"
+      ></path>
+    </svg>
+  </button>
+</header>
+
+<style>
+  .app-header {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    padding: 12px 20px;
+    background-color: var(--bg-secondary);
+    border-bottom: 1px solid var(--border-color);
+    flex-shrink: 0;
+  }
+
+  .app-title {
+    font-size: 24px;
+    font-weight: 700;
+    color: var(--text-primary);
+    letter-spacing: -0.5px;
+  }
+
+  .settings-btn {
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    width: 36px;
+    height: 36px;
+    padding: 0;
+    border: 1px solid var(--border-color);
+    border-radius: 8px;
+    background-color: transparent;
+    color: var(--text-secondary);
+    cursor: pointer;
+    transition: color 0.15s ease, background-color 0.15s ease;
+  }
+
+  .settings-btn:hover {
+    color: var(--text-primary);
+    background-color: var(--bg-tertiary);
+  }
+</style>

src/lib/components/Settings.svelte

@@ -0,0 +1,959 @@
+<script lang="ts">
+  import { configStore } from "$lib/stores/config";
+  import { backendStore } from "$lib/stores/backend";
+
+  interface Props {
+    onClose: () => void;
+  }
+
+  let { onClose }: Props = $props();
+
+  // Local copies of config values for editing
+  let userName = $state("");
+  let audioDevice = $state("default");
+  let model = $state("base.en");
+  let language = $state("en");
+  let computeDevice = $state("auto");
+  let computeType = $state("default");
+  let enableRealtime = $state(false);
+  let realtimeModel = $state("tiny.en");
+  let realtimeProcessingPause = $state(0.1);
+  let sileroSensitivity = $state(0.4);
+  let webrtcSensitivity = $state(3);
+  let postSpeechSilence = $state(0.3);
+  let minRecordingLength = $state(0.5);
+  let minGapBetween = $state(0);
+  let continuousMode = $state(false);
+  let showTimestamps = $state(true);
+  let fadeSeconds = $state(10);
+  let maxLines = $state(100);
+  let fontSource = $state("System Font");
+  let fontFamily = $state("Courier");
+  let websafeFont = $state("Arial");
+  let googleFont = $state("Roboto");
+  let fontSize = $state(12);
+  let userColor = $state("#4CAF50");
+  let textColor = $state("#FFFFFF");
+  let backgroundColor = $state("#000000");
+  let syncEnabled = $state(false);
+  let syncUrl = $state("");
+  let syncRoom = $state("default");
+  let syncPassphrase = $state("");
+  let remoteMode = $state("local");
+  let remoteServerUrl = $state("");
+  let byokApiKey = $state("");
+  let managedEmail = $state("");
+  let managedPassword = $state("");
+  let autoCheckUpdates = $state(true);
+
+  let saving = $state(false);
+  let saveMessage = $state("");
+
+  // Fetched device lists
+  let audioDevices = $state<{ id: string; name: string }[]>([]);
+  let computeDevices = $state<{ id: string; name: string }[]>([]);
+
+  // Model options
+  const modelOptions = [
+    "tiny",
+    "tiny.en",
+    "base",
+    "base.en",
+    "small",
+    "small.en",
+    "medium",
+    "medium.en",
+    "large-v1",
+    "large-v2",
+    "large-v3",
+  ];
+
+  const computeTypeOptions = [
+    { value: "default", label: "Default" },
+    { value: "int8", label: "int8 (Fastest)" },
+    { value: "float16", label: "float16 (GPU)" },
+    { value: "float32", label: "float32 (Best Quality)" },
+  ];
+
+  const webrtcOptions = [
+    { value: 0, label: "0 (Most Sensitive)" },
+    { value: 1, label: "1" },
+    { value: 2, label: "2" },
+    { value: 3, label: "3 (Least Sensitive)" },
+  ];
+
+  // Load config values on mount
+  $effect(() => {
+    const cfg = configStore.config;
+    userName = cfg.user.name;
+    audioDevice = cfg.audio.input_device;
+    model = cfg.transcription.model;
+    language = cfg.transcription.language;
+    computeDevice = cfg.transcription.device;
+    computeType = cfg.transcription.compute_type;
+    enableRealtime = cfg.transcription.enable_realtime_transcription;
+    realtimeModel = cfg.transcription.realtime_model;
+    realtimeProcessingPause = cfg.transcription.realtime_processing_pause;
+    sileroSensitivity = cfg.transcription.silero_sensitivity;
+    webrtcSensitivity = cfg.transcription.webrtc_sensitivity;
+    postSpeechSilence = cfg.transcription.post_speech_silence_duration;
+    minRecordingLength = cfg.transcription.min_length_of_recording;
+    minGapBetween = cfg.transcription.min_gap_between_recordings;
+    continuousMode = cfg.transcription.continuous_mode;
+    showTimestamps = cfg.display.show_timestamps;
+    fadeSeconds = cfg.display.fade_after_seconds;
+    maxLines = cfg.display.max_lines;
+    fontSource = cfg.display.font_source ?? "System Font";
+    fontFamily = cfg.display.font_family ?? "Courier";
+    websafeFont = cfg.display.websafe_font ?? "Arial";
+    googleFont = cfg.display.google_font ?? "Roboto";
+    fontSize = cfg.display.font_size;
+    userColor = cfg.display.user_color;
+    textColor = cfg.display.text_color;
+    // Strip alpha from background color for the color picker (only supports 6-char hex)
+    const bgHex = cfg.display.background_color.replace("#", "");
+    backgroundColor = "#" + bgHex.substring(0, 6);
+    syncEnabled = cfg.server_sync.enabled;
+    syncUrl = cfg.server_sync.url;
+    syncRoom = cfg.server_sync.room;
+    syncPassphrase = cfg.server_sync.passphrase;
+    remoteMode = cfg.remote.mode;
+    remoteServerUrl = cfg.remote.server_url;
+    byokApiKey = cfg.remote.byok_api_key ?? "";
+    autoCheckUpdates = cfg.updates.auto_check;
+  });
+
+  // Fetch audio devices and compute devices on mount
+  $effect(() => {
+    fetchAudioDevices();
+    fetchComputeDevices();
+  });
+
+  async function fetchAudioDevices() {
+    try {
+      const data = await backendStore.apiGet<{
+        devices: { id: string; name: string }[];
+      }>("/api/audio-devices");
+      audioDevices = data.devices ?? [];
+    } catch {
+      audioDevices = [];
+    }
+  }
+
+  async function fetchComputeDevices() {
+    try {
+      const data = await backendStore.apiGet<{
+        devices: { id: string; name: string }[];
+      }>("/api/compute-devices");
+      computeDevices = data.devices ?? [];
+    } catch {
+      computeDevices = [
+        { id: "auto", name: "Auto" },
+        { id: "cpu", name: "CPU" },
+        { id: "cuda", name: "CUDA (GPU)" },
+      ];
+    }
+  }
+
+  async function handleSave() {
+    const updates = {
+      user: {
+        name: userName,
+      },
+      audio: {
+        input_device: audioDevice,
+      },
+      transcription: {
+        model,
+        device: computeDevice,
+        language,
+        compute_type: computeType,
+        enable_realtime_transcription: enableRealtime,
+        realtime_model: realtimeModel,
+        realtime_processing_pause: realtimeProcessingPause,
+        silero_sensitivity: sileroSensitivity,
+        webrtc_sensitivity: webrtcSensitivity,
+        post_speech_silence_duration: postSpeechSilence,
+        min_length_of_recording: minRecordingLength,
+        min_gap_between_recordings: minGapBetween,
+        continuous_mode: continuousMode,
+      },
+      display: {
+        show_timestamps: showTimestamps,
+        fade_after_seconds: fadeSeconds,
+        max_lines: maxLines,
+        font_source: fontSource,
+        font_family: fontFamily,
+        websafe_font: websafeFont,
+        google_font: googleFont,
+        font_size: fontSize,
+        user_color: userColor,
+        text_color: textColor,
+        background_color: backgroundColor,
+      },
+      server_sync: {
+        enabled: syncEnabled,
+        url: syncUrl,
+        room: syncRoom,
+        passphrase: syncPassphrase,
+      },
+      remote: {
+        mode: remoteMode,
+        server_url: remoteServerUrl,
+        byok_api_key: byokApiKey,
+      },
+      updates: {
+        auto_check: autoCheckUpdates,
+      },
+    };
+
+    saving = true;
+    saveMessage = "";
+    try {
+      await configStore.updateConfig(updates);
+      saveMessage = "Settings saved!";
+      setTimeout(() => onClose(), 600);
+    } catch (err) {
+      console.error("Failed to save settings:", err);
+      saveMessage = `Error: ${err}`;
+      saving = false;
+    }
+  }
+
+  function handleCancel() {
+    onClose();
+  }
+
+  async function handleCheckUpdates() {
+    try {
+      await backendStore.apiGet("/api/check-update");
+    } catch (err) {
+      console.error("Failed to check for updates:", err);
+    }
+  }
+
+  async function handleChangeSidecar() {
+    try {
+      const { invoke } = await import("@tauri-apps/api/core");
+      await invoke("reset_sidecar");
+      // Force a page reload which will re-trigger the setup flow
+      window.location.reload();
+    } catch (err) {
+      console.error("Failed to reset sidecar:", err);
+      saveMessage = `Error: ${err}`;
+    }
+  }
+
+  async function handleManagedLogin() {
+    try {
+      await backendStore.apiPost("/api/login", {
+        email: managedEmail,
+        password: managedPassword,
+      });
+    } catch (err) {
+      console.error("Login failed:", err);
+    }
+  }
+
+  async function handleManagedRegister() {
+    try {
+      await backendStore.apiPost("/api/register", {
+        email: managedEmail,
+        password: managedPassword,
+      });
+    } catch (err) {
+      console.error("Register failed:", err);
+    }
+  }
+
+  function handleOverlayClick(e: MouseEvent) {
+    if ((e.target as HTMLElement).classList.contains("settings-overlay")) {
+      handleCancel();
+    }
+  }
+
+  function handleKeydown(e: KeyboardEvent) {
+    if (e.key === "Escape") {
+      handleCancel();
+    }
+  }
+</script>
+
+<svelte:window onkeydown={handleKeydown} />
+
+<!-- svelte-ignore a11y_click_events_have_key_events a11y_no_static_element_interactions -->
+<div class="settings-overlay" role="presentation" onclick={handleOverlayClick}>
+  <div class="settings-panel">
+    <div class="settings-header">
+      <h2>Settings</h2>
+      <button class="close-btn" aria-label="Close settings" onclick={handleCancel}>
+        <svg
+          width="18"
+          height="18"
+          viewBox="0 0 24 24"
+          fill="none"
+          stroke="currentColor"
+          stroke-width="2"
+          stroke-linecap="round"
+          stroke-linejoin="round"
+        >
+          <line x1="18" y1="6" x2="6" y2="18"></line>
+          <line x1="6" y1="6" x2="18" y2="18"></line>
+        </svg>
+      </button>
+    </div>
+
+    <div class="settings-content">
+      <!-- User Settings -->
+      <section class="settings-section">
+        <h3>User Settings</h3>
+        <div class="field">
+          <label for="user-name">Display Name</label>
+          <input id="user-name" type="text" bind:value={userName} />
+        </div>
+      </section>
+
+      <!-- Audio Settings -->
+      <section class="settings-section">
+        <h3>Audio Settings</h3>
+        <div class="field">
+          <label for="audio-device">Audio Device</label>
+          <select id="audio-device" bind:value={audioDevice}>
+            <option value="default">Default</option>
+            {#each audioDevices as device}
+              <option value={device.id}>{device.name}</option>
+            {/each}
+          </select>
+        </div>
+      </section>
+
+      <!-- Transcription Settings -->
+      <section class="settings-section">
+        <h3>Transcription Settings</h3>
+        <div class="field">
+          <label for="model">Model</label>
+          <select id="model" bind:value={model}>
+            {#each modelOptions as opt}
+              <option value={opt}>{opt}</option>
+            {/each}
+          </select>
+        </div>
+        <div class="field">
+          <label for="language">Language</label>
+          <input id="language" type="text" bind:value={language} placeholder="en" />
+        </div>
+        <div class="field">
+          <label for="compute-device">Compute Device</label>
+          <select id="compute-device" bind:value={computeDevice}>
+            {#each computeDevices as dev}
+              <option value={dev.id}>{dev.name}</option>
+            {/each}
+          </select>
+        </div>
+        <div class="field">
+          <label for="compute-type">Compute Type</label>
+          <select id="compute-type" bind:value={computeType}>
+            {#each computeTypeOptions as opt}
+              <option value={opt.value}>{opt.label}</option>
+            {/each}
+          </select>
+        </div>
+      </section>
+
+      <!-- Realtime Preview -->
+      <section class="settings-section">
+        <h3>Realtime Preview</h3>
+        <div class="field-row">
+          <label for="enable-realtime">Enable Realtime Preview</label>
+          <input
+            id="enable-realtime"
+            type="checkbox"
+            bind:checked={enableRealtime}
+          />
+        </div>
+        {#if enableRealtime}
+          <div class="field">
+            <label for="realtime-model">Realtime Model</label>
+            <select id="realtime-model" bind:value={realtimeModel}>
+              {#each modelOptions as opt}
+                <option value={opt}>{opt}</option>
+              {/each}
+            </select>
+          </div>
+          <div class="field">
+            <label for="realtime-pause"
+              >Processing Pause: {realtimeProcessingPause.toFixed(2)}s</label
+            >
+            <input
+              id="realtime-pause"
+              type="range"
+              min="0.01"
+              max="1.0"
+              step="0.01"
+              bind:value={realtimeProcessingPause}
+            />
+          </div>
+        {/if}
+      </section>
+
+      <!-- VAD Settings -->
+      <section class="settings-section">
+        <h3>VAD Settings</h3>
+        <div class="field">
+          <label for="silero-sensitivity"
+            >Silero Sensitivity: {sileroSensitivity.toFixed(2)}</label
+          >
+          <input
+            id="silero-sensitivity"
+            type="range"
+            min="0.0"
+            max="1.0"
+            step="0.05"
+            bind:value={sileroSensitivity}
+          />
+        </div>
+        <div class="field">
+          <label for="webrtc-sensitivity">WebRTC Sensitivity</label>
+          <select id="webrtc-sensitivity" bind:value={webrtcSensitivity}>
+            {#each webrtcOptions as opt}
+              <option value={opt.value}>{opt.label}</option>
+            {/each}
+          </select>
+        </div>
+      </section>
+
+      <!-- Timing -->
+      <section class="settings-section">
+        <h3>Timing</h3>
+        <div class="field">
+          <label for="post-speech-silence"
+            >Post-Speech Silence: {postSpeechSilence.toFixed(2)}s</label
+          >
+          <input
+            id="post-speech-silence"
+            type="range"
+            min="0.1"
+            max="3.0"
+            step="0.1"
+            bind:value={postSpeechSilence}
+          />
+        </div>
+        <div class="field">
+          <label for="min-recording"
+            >Min Recording Length: {minRecordingLength.toFixed(2)}s</label
+          >
+          <input
+            id="min-recording"
+            type="range"
+            min="0.1"
+            max="5.0"
+            step="0.1"
+            bind:value={minRecordingLength}
+          />
+        </div>
+        <div class="field">
+          <label for="min-gap"
+            >Min Gap Between Recordings: {minGapBetween.toFixed(2)}s</label
+          >
+          <input
+            id="min-gap"
+            type="range"
+            min="0"
+            max="3.0"
+            step="0.1"
+            bind:value={minGapBetween}
+          />
+        </div>
+        <div class="field-row">
+          <label for="continuous-mode">Continuous Mode</label>
+          <input
+            id="continuous-mode"
+            type="checkbox"
+            bind:checked={continuousMode}
+          />
+        </div>
+      </section>
+
+      <!-- Display Settings -->
+      <section class="settings-section">
+        <h3>Display Settings</h3>
+        <div class="field-row">
+          <label for="show-timestamps">Show Timestamps</label>
+          <input
+            id="show-timestamps"
+            type="checkbox"
+            bind:checked={showTimestamps}
+          />
+        </div>
+        <div class="field">
+          <label for="fade-seconds"
+            >Fade After Seconds: {fadeSeconds} (0 = never)</label
+          >
+          <input
+            id="fade-seconds"
+            type="range"
+            min="0"
+            max="60"
+            step="1"
+            bind:value={fadeSeconds}
+          />
+        </div>
+        <div class="field">
+          <label for="max-lines">Max Lines: {maxLines}</label>
+          <input
+            id="max-lines"
+            type="range"
+            min="10"
+            max="500"
+            step="10"
+            bind:value={maxLines}
+          />
+        </div>
+        <div class="field">
+          <label for="font-source">Font Source</label>
+          <select id="font-source" bind:value={fontSource}>
+            <option value="System Font">System Font</option>
+            <option value="Web-Safe">Web-Safe</option>
+            <option value="Google Font">Google Font</option>
+          </select>
+        </div>
+        {#if fontSource === "System Font"}
+          <div class="field">
+            <label for="font-family">System Font Family</label>
+            <input id="font-family" type="text" bind:value={fontFamily} placeholder="Courier" />
+          </div>
+        {/if}
+        {#if fontSource === "Web-Safe"}
+          <div class="field">
+            <label for="websafe-font">Web-Safe Font</label>
+            <select id="websafe-font" bind:value={websafeFont}>
+              <option value="Arial">Arial</option>
+              <option value="Arial Black">Arial Black</option>
+              <option value="Comic Sans MS">Comic Sans MS</option>
+              <option value="Courier New">Courier New</option>
+              <option value="Georgia">Georgia</option>
+              <option value="Impact">Impact</option>
+              <option value="Lucida Console">Lucida Console</option>
+              <option value="Lucida Sans Unicode">Lucida Sans Unicode</option>
+              <option value="Palatino Linotype">Palatino Linotype</option>
+              <option value="Tahoma">Tahoma</option>
+              <option value="Times New Roman">Times New Roman</option>
+              <option value="Trebuchet MS">Trebuchet MS</option>
+              <option value="Verdana">Verdana</option>
+            </select>
+          </div>
+        {/if}
+        {#if fontSource === "Google Font"}
+          <div class="field">
+            <label for="google-font">Google Font</label>
+            <select id="google-font" bind:value={googleFont}>
+              <optgroup label="Sans Serif">
+                <option value="Roboto">Roboto</option>
+                <option value="Open Sans">Open Sans</option>
+                <option value="Lato">Lato</option>
+                <option value="Montserrat">Montserrat</option>
+                <option value="Poppins">Poppins</option>
+                <option value="Nunito">Nunito</option>
+                <option value="Raleway">Raleway</option>
+                <option value="Ubuntu">Ubuntu</option>
+                <option value="Rubik">Rubik</option>
+                <option value="Work Sans">Work Sans</option>
+                <option value="Inter">Inter</option>
+                <option value="Outfit">Outfit</option>
+                <option value="Quicksand">Quicksand</option>
+                <option value="Comfortaa">Comfortaa</option>
+                <option value="Varela Round">Varela Round</option>
+              </optgroup>
+              <optgroup label="Serif">
+                <option value="Playfair Display">Playfair Display</option>
+                <option value="Merriweather">Merriweather</option>
+                <option value="Lora">Lora</option>
+                <option value="PT Serif">PT Serif</option>
+                <option value="Crimson Text">Crimson Text</option>
+              </optgroup>
+              <optgroup label="Monospace">
+                <option value="Roboto Mono">Roboto Mono</option>
+                <option value="Source Code Pro">Source Code Pro</option>
+                <option value="Fira Code">Fira Code</option>
+                <option value="JetBrains Mono">JetBrains Mono</option>
+                <option value="IBM Plex Mono">IBM Plex Mono</option>
+              </optgroup>
+              <optgroup label="Display">
+                <option value="Bebas Neue">Bebas Neue</option>
+                <option value="Oswald">Oswald</option>
+                <option value="Righteous">Righteous</option>
+                <option value="Bangers">Bangers</option>
+                <option value="Permanent Marker">Permanent Marker</option>
+              </optgroup>
+              <optgroup label="Handwriting">
+                <option value="Pacifico">Pacifico</option>
+                <option value="Lobster">Lobster</option>
+                <option value="Dancing Script">Dancing Script</option>
+                <option value="Caveat">Caveat</option>
+                <option value="Satisfy">Satisfy</option>
+              </optgroup>
+            </select>
+            <p style="font-size: 11px; color: var(--text-muted); margin-top: 4px;">
+              Browse more at <a href="https://fonts.google.com" target="_blank" rel="noopener" style="color: var(--accent-blue);">fonts.google.com</a>
+            </p>
+          </div>
+        {/if}
+        <div class="field">
+          <label for="font-size">Font Size: {fontSize}px</label>
+          <input
+            id="font-size"
+            type="range"
+            min="8"
+            max="32"
+            step="1"
+            bind:value={fontSize}
+          />
+        </div>
+      </section>
+
+      <!-- Color Settings -->
+      <section class="settings-section">
+        <h3>Color Settings</h3>
+        <div class="field-row">
+          <label for="user-color">User Color</label>
+          <input id="user-color" type="color" bind:value={userColor} />
+        </div>
+        <div class="field-row">
+          <label for="text-color">Text Color</label>
+          <input id="text-color" type="color" bind:value={textColor} />
+        </div>
+        <div class="field-row">
+          <label for="bg-color">Background Color</label>
+          <input id="bg-color" type="color" bind:value={backgroundColor} />
+        </div>
+      </section>
+
+      <!-- Server Sync -->
+      <section class="settings-section">
+        <h3>Server Sync</h3>
+        <div class="field-row">
+          <label for="sync-enabled">Enable Server Sync</label>
+          <input
+            id="sync-enabled"
+            type="checkbox"
+            bind:checked={syncEnabled}
+          />
+        </div>
+        {#if syncEnabled}
+          <div class="field">
+            <label for="sync-url">Server URL</label>
+            <input
+              id="sync-url"
+              type="url"
+              bind:value={syncUrl}
+              placeholder="http://localhost:3000/api/send"
+            />
+          </div>
+          <div class="field">
+            <label for="sync-room">Room</label>
+            <input id="sync-room" type="text" bind:value={syncRoom} />
+          </div>
+          <div class="field">
+            <label for="sync-passphrase">Passphrase</label>
+            <input
+              id="sync-passphrase"
+              type="password"
+              bind:value={syncPassphrase}
+            />
+          </div>
+        {/if}
+      </section>
+
+      <!-- Remote Transcription -->
+      <section class="settings-section">
+        <h3>Remote Transcription</h3>
+        <div class="radio-group">
+          <label>
+            <input
+              type="radio"
+              name="remote-mode"
+              value="local"
+              bind:group={remoteMode}
+            />
+            Local
+          </label>
+          <label>
+            <input
+              type="radio"
+              name="remote-mode"
+              value="managed"
+              bind:group={remoteMode}
+            />
+            Managed
+          </label>
+          <label>
+            <input
+              type="radio"
+              name="remote-mode"
+              value="byok"
+              bind:group={remoteMode}
+            />
+            BYOK (Bring Your Own Key)
+          </label>
+        </div>
+        {#if remoteMode === "managed"}
+          <div class="field">
+            <label for="remote-url">Server URL</label>
+            <input
+              id="remote-url"
+              type="url"
+              bind:value={remoteServerUrl}
+              placeholder="wss://your-proxy.com"
+            />
+          </div>
+        {/if}
+        {#if remoteMode === "byok"}
+          <div class="field">
+            <label for="byok-key">Deepgram API Key</label>
+            <input
+              id="byok-key"
+              type="password"
+              bind:value={byokApiKey}
+              placeholder="Enter your Deepgram API key"
+            />
+            <p style="font-size: 11px; color: var(--text-muted); margin-top: 4px;">
+              Get a key at <a href="https://console.deepgram.com" target="_blank" rel="noopener" style="color: var(--accent-blue);">console.deepgram.com</a>
+            </p>
+          </div>
+        {/if}
+        {#if remoteMode === "managed"}
+          <div class="managed-auth">
+            <div class="field">
+              <label for="managed-email">Email</label>
+              <input
+                id="managed-email"
+                type="email"
+                bind:value={managedEmail}
+                placeholder="email@example.com"
+              />
+            </div>
+            <div class="field">
+              <label for="managed-password">Password</label>
+              <input
+                id="managed-password"
+                type="password"
+                bind:value={managedPassword}
+              />
+            </div>
+            <div class="auth-buttons">
+              <button onclick={handleManagedLogin}>Login</button>
+              <button onclick={handleManagedRegister}>Register</button>
+            </div>
+          </div>
+        {/if}
+      </section>
+
+      <!-- Updates -->
+      <section class="settings-section">
+        <h3>Updates</h3>
+        <div class="field-row">
+          <label for="auto-check-updates">Auto-Check for Updates</label>
+          <input
+            id="auto-check-updates"
+            type="checkbox"
+            bind:checked={autoCheckUpdates}
+          />
+        </div>
+        <button onclick={handleCheckUpdates}>Check Now</button>
+      </section>
+
+      <!-- Transcription Engine -->
+      <section class="settings-section">
+        <h3>Transcription Engine</h3>
+        <p style="font-size: 12px; color: var(--text-secondary); margin-bottom: 12px;">
+          Switch between local (Whisper) and cloud (Deepgram) transcription engines.
+          This will stop the current engine, remove the downloaded files, and restart
+          with the new engine selection.
+        </p>
+        <button class="danger-btn" onclick={handleChangeSidecar}>Change Transcription Engine</button>
+      </section>
+    </div>
+
+    <div class="settings-footer">
+      {#if saveMessage}
+        <span class="save-message" class:error={saveMessage.startsWith("Error")}>{saveMessage}</span>
+      {/if}
+      <button onclick={handleCancel} disabled={saving}>Cancel</button>
+      <button class="primary" onclick={handleSave} disabled={saving}>
+        {saving ? "Saving..." : "Save"}
+      </button>
+    </div>
+  </div>
+</div>
+
+<style>
+  .settings-overlay {
+    position: fixed;
+    top: 0;
+    left: 0;
+    right: 0;
+    bottom: 0;
+    background-color: rgba(0, 0, 0, 0.6);
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    z-index: 1000;
+  }
+
+  .settings-panel {
+    background-color: var(--bg-primary);
+    border: 1px solid var(--border-color);
+    border-radius: 12px;
+    width: 560px;
+    max-width: 95vw;
+    max-height: 85vh;
+    display: flex;
+    flex-direction: column;
+    box-shadow: 0 8px 32px rgba(0, 0, 0, 0.5);
+  }
+
+  .settings-header {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    padding: 16px 20px;
+    border-bottom: 1px solid var(--border-color);
+    flex-shrink: 0;
+  }
+
+  .settings-header h2 {
+    font-size: 18px;
+    font-weight: 600;
+    color: var(--text-primary);
+  }
+
+  .close-btn {
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    width: 32px;
+    height: 32px;
+    padding: 0;
+    border: none;
+    border-radius: 6px;
+    background-color: transparent;
+    color: var(--text-secondary);
+    cursor: pointer;
+  }
+
+  .close-btn:hover {
+    background-color: var(--bg-tertiary);
+    color: var(--text-primary);
+  }
+
+  .settings-content {
+    flex: 1;
+    overflow-y: auto;
+    padding: 16px 20px;
+  }
+
+  .settings-section {
+    margin-bottom: 24px;
+  }
+
+  .settings-section:last-child {
+    margin-bottom: 0;
+  }
+
+  .settings-section h3 {
+    font-size: 14px;
+    font-weight: 600;
+    color: var(--accent-blue);
+    text-transform: uppercase;
+    letter-spacing: 0.5px;
+    margin-bottom: 12px;
+    padding-bottom: 6px;
+    border-bottom: 1px solid var(--border-color);
+  }
+
+  .field {
+    margin-bottom: 12px;
+  }
+
+  .field label {
+    display: block;
+    margin-bottom: 4px;
+    font-size: 12px;
+    color: var(--text-secondary);
+  }
+
+  .field-row {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    margin-bottom: 12px;
+  }
+
+  .field-row label {
+    font-size: 13px;
+    color: var(--text-primary);
+  }
+
+  .radio-group {
+    display: flex;
+    flex-direction: column;
+    gap: 8px;
+    margin-bottom: 12px;
+  }
+
+  .radio-group label {
+    display: flex;
+    align-items: center;
+    gap: 8px;
+    font-size: 13px;
+    color: var(--text-primary);
+    cursor: pointer;
+  }
+
+  .managed-auth {
+    margin-top: 8px;
+    padding: 12px;
+    background-color: var(--bg-secondary);
+    border-radius: 8px;
+  }
+
+  .auth-buttons {
+    display: flex;
+    gap: 8px;
+    margin-top: 8px;
+  }
+
+  .settings-footer {
+    display: flex;
+    align-items: center;
+    justify-content: flex-end;
+    gap: 8px;
+    padding: 16px 20px;
+    border-top: 1px solid var(--border-color);
+    flex-shrink: 0;
+  }
+
+  .save-message {
+    margin-right: auto;
+    font-size: 13px;
+    color: #4CAF50;
+  }
+
+  .save-message.error {
+    color: #f44336;
+  }
+
+  .danger-btn {
+    background: transparent;
+    border: 1px solid var(--accent-red, #f44336);
+    color: var(--accent-red, #f44336);
+    padding: 8px 16px;
+    border-radius: 6px;
+    cursor: pointer;
+    font-size: 13px;
+  }
+
+  .danger-btn:hover {
+    background: rgba(244, 67, 54, 0.1);
+  }
+</style>

src/lib/components/SidecarSetup.svelte

@@ -0,0 +1,420 @@
+<script lang="ts">
+  import { invoke } from "@tauri-apps/api/core";
+  import { listen } from "@tauri-apps/api/event";
+  import { onMount } from "svelte";
+
+  interface Props {
+    onComplete: () => void;
+  }
+
+  let { onComplete }: Props = $props();
+
+  type SetupState = "choose" | "downloading" | "error" | "success";
+
+  let setupState = $state<SetupState>("choose");
+  let variant = $state<"cpu" | "cuda">("cpu");
+  let progress = $state(0);
+  let progressMessage = $state("");
+  let errorMessage = $state("");
+
+  let unlisten: (() => void) | null = null;
+
+  onMount(() => {
+    return () => {
+      if (unlisten) {
+        unlisten();
+        unlisten = null;
+      }
+    };
+  });
+
+  async function startDownload() {
+    setupState = "downloading";
+    progress = 0;
+    progressMessage = "Starting download...";
+    errorMessage = "";
+
+    try {
+      // Listen for progress events from the Tauri backend
+      unlisten = await listen<{ downloaded: number; total: number; phase: string; message: string }>(
+        "sidecar-download-progress",
+        (event) => {
+          const { downloaded, total, message } = event.payload;
+          progress = total > 0 ? (downloaded / total) * 100 : 0;
+          progressMessage = message;
+        }
+      );
+
+      await invoke("download_sidecar", { variant });
+
+      // Download complete
+      setupState = "success";
+      if (unlisten) {
+        unlisten();
+        unlisten = null;
+      }
+
+      // Brief pause to show success, then proceed
+      setTimeout(() => {
+        onComplete();
+      }, 1500);
+    } catch (err) {
+      setupState = "error";
+      errorMessage = err instanceof Error ? err.message : String(err);
+      if (unlisten) {
+        unlisten();
+        unlisten = null;
+      }
+    }
+  }
+
+  function retry() {
+    setupState = "choose";
+    progress = 0;
+    progressMessage = "";
+    errorMessage = "";
+  }
+</script>
+
+<div class="setup-overlay">
+  <div class="setup-card">
+    <div class="setup-header">
+      <h1 class="app-title">Local Transcription</h1>
+      <h2 class="setup-heading">First-Time Setup</h2>
+    </div>
+
+    {#if setupState === "choose"}
+      <p class="setup-description">
+        Choose a transcription engine. You can change this later in Settings.
+      </p>
+
+      <div class="variant-options">
+        <label class="variant-option" class:selected={variant === "cloud"}>
+          <input
+            type="radio"
+            name="variant"
+            value="cloud"
+            bind:group={variant}
+          />
+          <div class="variant-info">
+            <span class="variant-name">Cloud (Deepgram)</span>
+            <span class="variant-desc">~50 MB download</span>
+            <span class="variant-detail">
+              Fast, accurate streaming transcription via Deepgram's servers.
+              Requires internet and a Deepgram API key.
+              Best for most users — low resource usage, works on any hardware.
+            </span>
+            <span class="variant-tag recommended">Recommended</span>
+          </div>
+        </label>
+
+        <label class="variant-option" class:selected={variant === "cpu"}>
+          <input
+            type="radio"
+            name="variant"
+            value="cpu"
+            bind:group={variant}
+          />
+          <div class="variant-info">
+            <span class="variant-name">Local - CPU</span>
+            <span class="variant-desc">~500 MB download</span>
+            <span class="variant-detail">
+              Runs Whisper AI models locally on your CPU. No internet needed
+              after download. Good for privacy or offline use, but slower and
+              uses more system resources than cloud.
+            </span>
+          </div>
+        </label>
+
+      </div>
+
+      <button class="download-btn" onclick={startDownload}>
+        Download & Install
+      </button>
+
+    {:else if setupState === "downloading"}
+      <div class="progress-section">
+        <p class="progress-message">{progressMessage}</p>
+        <div class="progress-bar-track">
+          <div
+            class="progress-bar-fill"
+            style="width: {progress}%"
+          ></div>
+        </div>
+        <p class="progress-percent">{Math.round(progress)}%</p>
+      </div>
+
+    {:else if setupState === "error"}
+      <div class="error-section">
+        <div class="error-icon">
+          <svg width="48" height="48" viewBox="0 0 24 24" fill="none" stroke="#f44336" stroke-width="2">
+            <circle cx="12" cy="12" r="10"/>
+            <line x1="15" y1="9" x2="9" y2="15"/>
+            <line x1="9" y1="9" x2="15" y2="15"/>
+          </svg>
+        </div>
+        <p class="error-title">Download Failed</p>
+        <p class="error-message">{errorMessage}</p>
+        <button class="retry-btn" onclick={retry}>
+          Try Again
+        </button>
+      </div>
+
+    {:else if setupState === "success"}
+      <div class="success-section">
+        <div class="success-icon">
+          <svg width="48" height="48" viewBox="0 0 24 24" fill="none" stroke="#4CAF50" stroke-width="2">
+            <circle cx="12" cy="12" r="10"/>
+            <polyline points="16 9 10.5 15 8 12.5"/>
+          </svg>
+        </div>
+        <p class="success-title">Setup Complete</p>
+        <p class="success-message">The transcription engine is ready to go.</p>
+      </div>
+    {/if}
+  </div>
+</div>
+
+<style>
+  .setup-overlay {
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    height: 100%;
+    width: 100%;
+    background-color: #1e1e1e;
+  }
+
+  .setup-card {
+    background-color: #2a2a2a;
+    border-radius: 12px;
+    padding: 40px;
+    max-width: 480px;
+    width: 100%;
+    margin: 20px;
+    box-shadow: 0 8px 32px rgba(0, 0, 0, 0.4);
+  }
+
+  .setup-header {
+    text-align: center;
+    margin-bottom: 24px;
+  }
+
+  .app-title {
+    font-size: 24px;
+    font-weight: 700;
+    color: #e0e0e0;
+    margin-bottom: 4px;
+  }
+
+  .setup-heading {
+    font-size: 16px;
+    font-weight: 500;
+    color: #a0a0a0;
+  }
+
+  .setup-description {
+    font-size: 14px;
+    color: #a0a0a0;
+    line-height: 1.6;
+    text-align: center;
+    margin-bottom: 24px;
+  }
+
+  .variant-options {
+    display: flex;
+    flex-direction: column;
+    gap: 12px;
+    margin-bottom: 24px;
+  }
+
+  .variant-option {
+    display: flex;
+    align-items: center;
+    gap: 12px;
+    padding: 14px 16px;
+    border: 2px solid #444;
+    border-radius: 8px;
+    cursor: pointer;
+    transition: border-color 0.15s ease, background-color 0.15s ease;
+  }
+
+  .variant-option:hover {
+    background-color: #333;
+    border-color: #555;
+  }
+
+  .variant-option.selected {
+    border-color: #4CAF50;
+    background-color: rgba(76, 175, 80, 0.08);
+  }
+
+  .variant-option input[type="radio"] {
+    width: 18px;
+    height: 18px;
+    flex-shrink: 0;
+  }
+
+  .variant-info {
+    display: flex;
+    flex-direction: column;
+    gap: 2px;
+  }
+
+  .variant-name {
+    font-size: 14px;
+    font-weight: 600;
+    color: #e0e0e0;
+  }
+
+  .variant-desc {
+    font-size: 12px;
+    color: #888;
+  }
+
+  .variant-detail {
+    font-size: 11px;
+    color: #666;
+    line-height: 1.4;
+    margin-top: 2px;
+  }
+
+  .variant-tag {
+    display: inline-block;
+    font-size: 10px;
+    font-weight: 600;
+    text-transform: uppercase;
+    letter-spacing: 0.5px;
+    padding: 2px 6px;
+    border-radius: 3px;
+    margin-top: 4px;
+    width: fit-content;
+  }
+
+  .variant-tag.recommended {
+    background: rgba(76, 175, 80, 0.15);
+    color: #4CAF50;
+  }
+
+  .download-btn {
+    display: block;
+    width: 100%;
+    padding: 12px 24px;
+    font-size: 15px;
+    font-weight: 600;
+    color: white;
+    background-color: #4CAF50;
+    border: none;
+    border-radius: 8px;
+    cursor: pointer;
+    transition: background-color 0.15s ease;
+  }
+
+  .download-btn:hover {
+    background-color: #45a049;
+  }
+
+  .download-btn:active {
+    transform: scale(0.98);
+  }
+
+  /* Progress state */
+  .progress-section {
+    text-align: center;
+    padding: 20px 0;
+  }
+
+  .progress-message {
+    font-size: 14px;
+    color: #a0a0a0;
+    margin-bottom: 16px;
+  }
+
+  .progress-bar-track {
+    width: 100%;
+    height: 8px;
+    background-color: #3a3a3a;
+    border-radius: 4px;
+    overflow: hidden;
+    margin-bottom: 8px;
+  }
+
+  .progress-bar-fill {
+    height: 100%;
+    background-color: #4CAF50;
+    border-radius: 4px;
+    transition: width 0.3s ease;
+  }
+
+  .progress-percent {
+    font-size: 13px;
+    color: #707070;
+  }
+
+  /* Error state */
+  .error-section {
+    text-align: center;
+    padding: 10px 0;
+  }
+
+  .error-icon {
+    display: flex;
+    justify-content: center;
+    margin-bottom: 12px;
+  }
+
+  .error-title {
+    font-size: 18px;
+    font-weight: 600;
+    color: #f44336;
+    margin-bottom: 8px;
+  }
+
+  .error-message {
+    font-size: 13px;
+    color: #a0a0a0;
+    margin-bottom: 20px;
+    word-break: break-word;
+  }
+
+  .retry-btn {
+    display: inline-block;
+    padding: 10px 28px;
+    font-size: 14px;
+    font-weight: 600;
+    color: white;
+    background-color: #4CAF50;
+    border: none;
+    border-radius: 8px;
+    cursor: pointer;
+    transition: background-color 0.15s ease;
+  }
+
+  .retry-btn:hover {
+    background-color: #45a049;
+  }
+
+  /* Success state */
+  .success-section {
+    text-align: center;
+    padding: 20px 0;
+  }
+
+  .success-icon {
+    display: flex;
+    justify-content: center;
+    margin-bottom: 12px;
+  }
+
+  .success-title {
+    font-size: 18px;
+    font-weight: 600;
+    color: #4CAF50;
+    margin-bottom: 4px;
+  }
+
+  .success-message {
+    font-size: 14px;
+    color: #a0a0a0;
+  }
+</style>

src/lib/components/StatusBar.svelte

@@ -0,0 +1,106 @@
+<script lang="ts">
+  import { backendStore } from "$lib/stores/backend";
+  import { configStore } from "$lib/stores/config";
+
+  let statusColor = $derived.by(() => {
+    switch (backendStore.appState) {
+      case "initializing":
+        return "#ff9800";
+      case "ready":
+        return "#4caf50";
+      case "transcribing":
+        return "#f44336";
+      case "error":
+        return "#f44336";
+      default:
+        return "#888";
+    }
+  });
+
+  let isPulsing = $derived(backendStore.appState === "transcribing");
+  let userName = $derived(configStore.config.user.name);
+</script>
+
+<div class="status-bar">
+  <div class="status-left">
+    <span
+      class="status-indicator"
+      class:pulsing={isPulsing}
+      style="background-color: {statusColor}"
+    ></span>
+    <span class="state-message">{backendStore.stateMessage}</span>
+  </div>
+  <div class="status-right">
+    {#if backendStore.deviceInfo}
+      <span class="device-info">{backendStore.deviceInfo}</span>
+      <span class="separator">|</span>
+    {/if}
+    <span class="user-name">{userName}</span>
+  </div>
+</div>
+
+<style>
+  .status-bar {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    padding: 6px 20px;
+    background-color: var(--bg-secondary);
+    border-bottom: 1px solid var(--border-color);
+    font-size: 12px;
+    flex-shrink: 0;
+  }
+
+  .status-left {
+    display: flex;
+    align-items: center;
+    gap: 8px;
+  }
+
+  .status-right {
+    display: flex;
+    align-items: center;
+    gap: 8px;
+    color: var(--text-secondary);
+  }
+
+  .status-indicator {
+    width: 10px;
+    height: 10px;
+    border-radius: 50%;
+    flex-shrink: 0;
+  }
+
+  .status-indicator.pulsing {
+    animation: pulse 1.5s ease-in-out infinite;
+  }
+
+  @keyframes pulse {
+    0%,
+    100% {
+      opacity: 1;
+      box-shadow: 0 0 0 0 rgba(244, 67, 54, 0.4);
+    }
+    50% {
+      opacity: 0.7;
+      box-shadow: 0 0 0 6px rgba(244, 67, 54, 0);
+    }
+  }
+
+  .state-message {
+    color: var(--text-primary);
+  }
+
+  .device-info {
+    color: var(--text-secondary);
+  }
+
+  .separator {
+    color: var(--text-muted);
+  }
+
+  .user-name {
+    color: var(--accent-green);
+    font-weight: 500;
+  }
+</style>

src/lib/components/TranscriptionDisplay.svelte

@@ -0,0 +1,110 @@
+<script lang="ts">
+  import { transcriptionStore } from "$lib/stores/transcriptions";
+  import { configStore } from "$lib/stores/config";
+
+  let container: HTMLDivElement | undefined = $state();
+  let showTimestamps = $derived(configStore.config.display.show_timestamps);
+  let items = $derived(transcriptionStore.items);
+
+  $effect(() => {
+    // Trigger on items length change to auto-scroll
+    const _len = items.length;
+    if (container) {
+      requestAnimationFrame(() => {
+        if (container) {
+          container.scrollTop = container.scrollHeight;
+        }
+      });
+    }
+  });
+</script>
+
+<div class="transcription-display" bind:this={container}>
+  {#each items as item (item.id)}
+    <div class="transcription-item" class:preview={item.isPreview}>
+      {#if showTimestamps && item.timestamp}
+        <span class="timestamp">[{item.timestamp}]</span>
+      {/if}
+      {#if item.userName}
+        <span class="user-name">{item.userName}:</span>
+      {/if}
+      {#if item.isPreview}
+        <span class="preview-indicator">[...]</span>
+      {/if}
+      <span class="text">{item.text}</span>
+    </div>
+  {:else}
+    <div class="empty-state">
+      Transcriptions will appear here...
+    </div>
+  {/each}
+</div>
+
+<style>
+  .transcription-display {
+    flex: 1;
+    overflow-y: auto;
+    padding: 12px 20px;
+    display: flex;
+    flex-direction: column;
+    gap: 6px;
+  }
+
+  .transcription-item {
+    padding: 6px 10px;
+    border-radius: 4px;
+    background-color: rgba(255, 255, 255, 0.03);
+    animation: fadeIn 0.2s ease-out;
+    line-height: 1.6;
+    word-wrap: break-word;
+  }
+
+  .transcription-item.preview {
+    font-style: italic;
+    opacity: 0.7;
+  }
+
+  .timestamp {
+    color: #888;
+    font-size: 0.85em;
+    margin-right: 8px;
+    font-family: monospace;
+  }
+
+  .user-name {
+    color: #4caf50;
+    font-weight: 700;
+    margin-right: 6px;
+  }
+
+  .preview-indicator {
+    color: #888;
+    font-size: 0.85em;
+    margin-right: 4px;
+  }
+
+  .text {
+    color: #ffffff;
+  }
+
+  .empty-state {
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    height: 100%;
+    color: var(--text-muted);
+    font-size: 15px;
+    font-style: italic;
+  }
+
+  @keyframes fadeIn {
+    from {
+      opacity: 0;
+      transform: translateY(4px);
+    }
+    to {
+      opacity: 1;
+      transform: translateY(0);
+    }
+  }
+</style>

src/lib/stores/backend.svelte.ts

@@ -0,0 +1,311 @@
+/**
+ * Backend store - manages WebSocket connection and REST API communication
+ * with the Python backend server running on localhost.
+ *
+ * The backend port defaults to 8081 but can be updated at runtime via
+ * `setPort()`. The WebSocket connects to /ws/control for real-time push
+ * of transcriptions, previews, and state changes.
+ */
+
+export type ConnectionState = "connecting" | "connected" | "disconnected" | "error";
+export type AppState = "initializing" | "ready" | "transcribing" | "reloading" | "error";
+
+interface BackendState {
+  port: number;
+  connectionState: ConnectionState;
+  appState: AppState;
+  stateMessage: string;
+  deviceInfo: string;
+  wsConnection: WebSocket | null;
+  version: string;
+  lastError: string;
+}
+
+let state = $state<BackendState>({
+  port: 8081,
+  connectionState: "disconnected",
+  appState: "initializing",
+  stateMessage: "Connecting to backend...",
+  deviceInfo: "",
+  wsConnection: null,
+  version: "1.4.0",
+  lastError: "",
+});
+
+let reconnectTimer: ReturnType<typeof setTimeout> | null = null;
+let reconnectAttempts = 0;
+const MAX_RECONNECT_DELAY_MS = 30_000;
+const BASE_RECONNECT_DELAY_MS = 1_000;
+
+// ── URL helpers ──────────────────────────────────────────────────────
+
+function apiUrl(path: string): string {
+  const normalised = path.startsWith("/") ? path : `/${path}`;
+  return `http://localhost:${state.port}${normalised}`;
+}
+
+async function apiFetch(path: string, options?: RequestInit): Promise<Response> {
+  const url = apiUrl(path);
+  const method = options?.method?.toUpperCase() ?? "GET";
+  const headers = new Headers(options?.headers);
+  if (method !== "GET" && !headers.has("Content-Type")) {
+    headers.set("Content-Type", "application/json");
+  }
+  return fetch(url, { ...options, headers });
+}
+
+// ── Status polling ──────────────────────────────────────────────────
+
+let statusPollTimer: ReturnType<typeof setTimeout> | null = null;
+
+async function pollStatus() {
+  try {
+    const resp = await fetch(apiUrl("/api/status"));
+    if (resp.ok) {
+      const data = await resp.json();
+      if (data.state) {
+        state.appState = data.state as AppState;
+      }
+      if (data.engine_device) {
+        state.deviceInfo = data.engine_device;
+      }
+      if (data.version) {
+        state.version = data.version;
+      }
+    }
+  } catch {
+    // API not ready yet, will retry
+  }
+
+  // Keep polling every 2s while still initializing
+  if (state.appState === "initializing" && state.connectionState === "connected") {
+    statusPollTimer = setTimeout(pollStatus, 2000);
+  }
+}
+
+// ── WebSocket management ─────────────────────────────────────────────
+
+function connectWebSocket() {
+  // Tear down any existing connection
+  disconnect();
+
+  state.connectionState = "connecting";
+  reconnectAttempts = 0;
+
+  _openSocket();
+}
+
+function _openSocket() {
+  const wsUrl = `ws://localhost:${state.port}/ws/control`;
+
+  try {
+    const ws = new WebSocket(wsUrl);
+
+    ws.onopen = () => {
+      state.connectionState = "connected";
+      state.lastError = "";
+      reconnectAttempts = 0;
+      if (reconnectTimer) {
+        clearTimeout(reconnectTimer);
+        reconnectTimer = null;
+      }
+      // Poll status to catch engine ready state that may have been
+      // missed (engine can finish before WebSocket connects)
+      pollStatus();
+    };
+
+    ws.onmessage = (event) => {
+      try {
+        const data = JSON.parse(event.data);
+        handleWebSocketMessage(data);
+      } catch {
+        // ignore parse errors
+      }
+    };
+
+    ws.onclose = () => {
+      state.wsConnection = null;
+      if (state.connectionState !== "disconnected") {
+        state.connectionState = "error";
+        state.stateMessage = "Disconnected from backend";
+        _scheduleReconnect();
+      }
+    };
+
+    ws.onerror = () => {
+      state.lastError = "WebSocket error";
+      // onclose fires after this, which handles reconnect
+    };
+
+    state.wsConnection = ws;
+  } catch {
+    state.connectionState = "error";
+    state.stateMessage = "Failed to connect";
+    _scheduleReconnect();
+  }
+}
+
+function _scheduleReconnect() {
+  if (reconnectTimer) return;
+
+  const delay = Math.min(
+    BASE_RECONNECT_DELAY_MS * Math.pow(2, reconnectAttempts),
+    MAX_RECONNECT_DELAY_MS,
+  );
+  reconnectAttempts++;
+
+  reconnectTimer = setTimeout(() => {
+    reconnectTimer = null;
+    if (state.connectionState !== "disconnected") {
+      state.connectionState = "connecting";
+      _openSocket();
+    }
+  }, delay);
+}
+
+function disconnect() {
+  if (statusPollTimer) {
+    clearTimeout(statusPollTimer);
+    statusPollTimer = null;
+  }
+  if (reconnectTimer) {
+    clearTimeout(reconnectTimer);
+    reconnectTimer = null;
+  }
+  state.connectionState = "disconnected";
+  if (state.wsConnection) {
+    const ws = state.wsConnection;
+    ws.onclose = null;
+    ws.onerror = null;
+    ws.close();
+    state.wsConnection = null;
+  }
+}
+
+// ── WebSocket message handling ───────────────────────────────────────
+
+function handleWebSocketMessage(data: Record<string, unknown>) {
+  // Handle state changes locally
+  if (data.type === "state_changed") {
+    if (data.state) {
+      state.appState = data.state as AppState;
+    }
+    if (data.message) {
+      state.stateMessage = data.message as string;
+    }
+  }
+
+  if (data.type === "error") {
+    state.lastError = (data.message as string) ?? "Unknown error";
+  }
+
+  // Dispatch to window for other stores (transcriptions, etc.)
+  if (data.type === "transcription") {
+    window.dispatchEvent(
+      new CustomEvent("backend:transcription", { detail: data })
+    );
+  } else if (data.type === "preview") {
+    window.dispatchEvent(
+      new CustomEvent("backend:preview", { detail: data })
+    );
+  } else if (data.type === "credits_low") {
+    window.dispatchEvent(
+      new CustomEvent("backend:credits_low", { detail: data })
+    );
+  }
+}
+
+// ── Port management ──────────────────────────────────────────────────
+
+function setPort(newPort: number) {
+  if (newPort === state.port) return;
+  state.port = newPort;
+  // Reconnect with new port if we had a connection
+  if (state.connectionState !== "disconnected") {
+    connectWebSocket();
+  }
+}
+
+// ── Typed REST helpers ───────────────────────────────────────────────
+
+async function apiGet<T = unknown>(path: string): Promise<T> {
+  const resp = await apiFetch(path);
+  if (!resp.ok) throw new Error(`GET ${path} failed: ${resp.status}`);
+  return resp.json();
+}
+
+async function apiPost<T = unknown>(
+  path: string,
+  body?: unknown
+): Promise<T> {
+  const resp = await apiFetch(path, {
+    method: "POST",
+    body: body !== undefined ? JSON.stringify(body) : undefined,
+  });
+  if (!resp.ok) throw new Error(`POST ${path} failed: ${resp.status}`);
+  return resp.json();
+}
+
+async function apiPut<T = unknown>(
+  path: string,
+  body?: unknown
+): Promise<T> {
+  const resp = await apiFetch(path, {
+    method: "PUT",
+    body: body !== undefined ? JSON.stringify(body) : undefined,
+  });
+  if (!resp.ok) throw new Error(`PUT ${path} failed: ${resp.status}`);
+  return resp.json();
+}
+
+// ── Public API ───────────────────────────────────────────────────────
+
+export const backendStore = {
+  get port() {
+    return state.port;
+  },
+  get connectionState() {
+    return state.connectionState;
+  },
+  get connected() {
+    return state.connectionState === "connected";
+  },
+  get appState() {
+    return state.appState;
+  },
+  get stateMessage() {
+    return state.stateMessage;
+  },
+  get deviceInfo() {
+    return state.deviceInfo;
+  },
+  get version() {
+    return state.version;
+  },
+  get lastError() {
+    return state.lastError;
+  },
+  get apiBaseUrl() {
+    return `http://localhost:${state.port}`;
+  },
+  get wsUrl() {
+    return `ws://localhost:${state.port}/ws/control`;
+  },
+  get obsUrl() {
+    // OBS display runs on the web server port (one below the API port)
+    const obsPort = state.port > 0 ? state.port - 1 : 8080;
+    return `http://localhost:${obsPort}`;
+  },
+  get syncUrl() {
+    return "";
+  },
+  setPort,
+  connect: connectWebSocket,
+  disconnect,
+  pollStatus,
+  apiUrl,
+  apiFetch,
+  apiGet,
+  apiPost,
+  apiPut,
+};

src/lib/stores/backend.test.ts

@@ -0,0 +1,77 @@
+import { describe, it, expect, vi, beforeEach } from "vitest";
+import { backendStore } from "./backend.svelte.ts";
+
+// Mock WebSocket globally so the store module can reference it
+class MockWebSocket {
+  onopen: ((ev: Event) => void) | null = null;
+  onclose: ((ev: CloseEvent) => void) | null = null;
+  onmessage: ((ev: MessageEvent) => void) | null = null;
+  onerror: ((ev: Event) => void) | null = null;
+  close = vi.fn();
+}
+vi.stubGlobal("WebSocket", MockWebSocket);
+
+// Mock fetch to prevent real network calls
+vi.stubGlobal(
+  "fetch",
+  vi.fn(() =>
+    Promise.resolve({
+      ok: true,
+      json: () => Promise.resolve({}),
+    })
+  )
+);
+
+describe("backend store", () => {
+  beforeEach(() => {
+    backendStore.disconnect();
+    backendStore.setPort(8081);
+  });
+
+  it("test_exports_expected_properties", () => {
+    expect(backendStore).toHaveProperty("port");
+    expect(backendStore).toHaveProperty("connectionState");
+    expect(backendStore).toHaveProperty("connected");
+    expect(backendStore).toHaveProperty("appState");
+    expect(backendStore).toHaveProperty("stateMessage");
+    expect(backendStore).toHaveProperty("deviceInfo");
+    expect(backendStore).toHaveProperty("version");
+    expect(backendStore).toHaveProperty("lastError");
+    expect(backendStore).toHaveProperty("apiBaseUrl");
+    expect(backendStore).toHaveProperty("wsUrl");
+    expect(backendStore).toHaveProperty("obsUrl");
+    expect(backendStore).toHaveProperty("syncUrl");
+  });
+
+  it("test_exports_expected_methods", () => {
+    expect(typeof backendStore.setPort).toBe("function");
+    expect(typeof backendStore.connect).toBe("function");
+    expect(typeof backendStore.disconnect).toBe("function");
+    expect(typeof backendStore.apiUrl).toBe("function");
+    expect(typeof backendStore.apiFetch).toBe("function");
+    expect(typeof backendStore.apiGet).toBe("function");
+    expect(typeof backendStore.apiPost).toBe("function");
+    expect(typeof backendStore.apiPut).toBe("function");
+  });
+
+  it("test_obsUrl_derives_from_port", () => {
+    backendStore.setPort(8081);
+    expect(backendStore.obsUrl).toBe("http://localhost:8080");
+  });
+
+  it("test_apiBaseUrl_uses_port", () => {
+    backendStore.setPort(8081);
+    expect(backendStore.apiBaseUrl).toBe("http://localhost:8081");
+  });
+
+  it("test_wsUrl_uses_port", () => {
+    backendStore.setPort(8081);
+    expect(backendStore.wsUrl).toBe("ws://localhost:8081/ws/control");
+  });
+
+  it("test_initial_state", () => {
+    // After disconnect() in beforeEach, state should be disconnected
+    expect(backendStore.connectionState).toBe("disconnected");
+    expect(backendStore.appState).toBe("initializing");
+  });
+});

src/lib/stores/config.svelte.ts

@@ -0,0 +1,243 @@
+/**
+ * Config store - manages application configuration loaded from
+ * and saved to the Python backend via the backend store's API helpers.
+ *
+ * The backend accepts PUT /api/config with `{ settings: { "dot.key": value } }`.
+ */
+
+import { backendStore } from "$lib/stores/backend";
+
+export interface AppConfig {
+  user: {
+    name: string;
+    id: string;
+  };
+  audio: {
+    input_device: string;
+    sample_rate: number;
+  };
+  transcription: {
+    model: string;
+    device: string;
+    language: string;
+    compute_type: string;
+    enable_realtime_transcription: boolean;
+    realtime_model: string;
+    realtime_processing_pause: number;
+    silero_sensitivity: number;
+    silero_use_onnx: boolean;
+    webrtc_sensitivity: number;
+    post_speech_silence_duration: number;
+    min_length_of_recording: number;
+    min_gap_between_recordings: number;
+    pre_recording_buffer_duration: number;
+    beam_size: number;
+    initial_prompt: string;
+    no_log_file: boolean;
+    continuous_mode: boolean;
+  };
+  server_sync: {
+    enabled: boolean;
+    url: string;
+    room: string;
+    passphrase: string;
+  };
+  display: {
+    show_timestamps: boolean;
+    max_lines: number;
+    font_source: string;
+    font_family: string;
+    websafe_font: string;
+    google_font: string;
+    custom_font_file: string;
+    font_size: number;
+    theme: string;
+    fade_after_seconds: number;
+    user_color: string;
+    text_color: string;
+    background_color: string;
+  };
+  web_server: {
+    port: number;
+    host: string;
+  };
+  remote: {
+    mode: string;
+    server_url: string;
+    auth_token: string;
+    byok_api_key: string;
+    deepgram_model: string;
+    language: string;
+    fallback_to_local: boolean;
+  };
+  updates: {
+    auto_check: boolean;
+    gitea_url: string;
+    owner: string;
+    repo: string;
+    skipped_versions: string[];
+    last_check: string;
+    check_interval_hours: number;
+  };
+}
+
+function getDefaultConfig(): AppConfig {
+  return {
+    user: { name: "User", id: "" },
+    audio: { input_device: "default", sample_rate: 16000 },
+    transcription: {
+      model: "base.en",
+      device: "auto",
+      language: "en",
+      compute_type: "default",
+      enable_realtime_transcription: false,
+      realtime_model: "tiny.en",
+      realtime_processing_pause: 0.1,
+      silero_sensitivity: 0.4,
+      silero_use_onnx: true,
+      webrtc_sensitivity: 3,
+      post_speech_silence_duration: 0.3,
+      min_length_of_recording: 0.5,
+      min_gap_between_recordings: 0,
+      pre_recording_buffer_duration: 0.2,
+      beam_size: 5,
+      initial_prompt: "",
+      no_log_file: true,
+      continuous_mode: false,
+    },
+    server_sync: {
+      enabled: false,
+      url: "http://localhost:3000/api/send",
+      room: "default",
+      passphrase: "",
+    },
+    display: {
+      show_timestamps: true,
+      max_lines: 100,
+      font_source: "System Font",
+      font_family: "Courier",
+      websafe_font: "Arial",
+      google_font: "Roboto",
+      custom_font_file: "",
+      font_size: 12,
+      theme: "dark",
+      fade_after_seconds: 10,
+      user_color: "#4CAF50",
+      text_color: "#FFFFFF",
+      background_color: "#000000B3",
+    },
+    web_server: { port: 8080, host: "127.0.0.1" },
+    remote: {
+      mode: "local",
+      server_url: "",
+      auth_token: "",
+      byok_api_key: "",
+      deepgram_model: "nova-2",
+      language: "en-US",
+      fallback_to_local: true,
+    },
+    updates: {
+      auto_check: true,
+      gitea_url: "https://repo.anhonesthost.net",
+      owner: "streamer-tools",
+      repo: "local-transcription",
+      skipped_versions: [],
+      last_check: "",
+      check_interval_hours: 24,
+    },
+  };
+}
+
+let config = $state<AppConfig>(getDefaultConfig());
+let loading = $state(false);
+let error = $state("");
+
+/**
+ * Fetch the full configuration tree from the backend.
+ * GET /api/config
+ */
+async function fetchConfig(): Promise<void> {
+  loading = true;
+  error = "";
+
+  try {
+    const data = await backendStore.apiGet<Record<string, unknown>>("/api/config");
+    // Deep merge with defaults to ensure all keys exist
+    config = deepMerge(getDefaultConfig(), data) as AppConfig;
+  } catch (err) {
+    error = err instanceof Error ? err.message : String(err);
+    console.error("[config] fetchConfig failed:", error);
+  } finally {
+    loading = false;
+  }
+}
+
+function deepMerge(target: Record<string, unknown>, source: Record<string, unknown>): Record<string, unknown> {
+  const result = { ...target };
+  for (const key of Object.keys(source)) {
+    if (
+      source[key] &&
+      typeof source[key] === "object" &&
+      !Array.isArray(source[key]) &&
+      target[key] &&
+      typeof target[key] === "object" &&
+      !Array.isArray(target[key])
+    ) {
+      result[key] = deepMerge(
+        target[key] as Record<string, unknown>,
+        source[key] as Record<string, unknown>
+      );
+    } else {
+      result[key] = source[key];
+    }
+  }
+  return result;
+}
+
+/**
+ * Send a batch of setting updates to the backend.
+ * PUT /api/config with body `{ settings: { "dot.key": value, ... } }`
+ *
+ * Keys use dot-notation, e.g. `{ "transcription.model": "small.en" }`.
+ *
+ * Returns the response payload on success, or throws on failure.
+ */
+async function updateConfig(
+  settings: Record<string, unknown>,
+): Promise<{ status: string; message: string; engine_reloaded: boolean }> {
+  loading = true;
+  error = "";
+
+  try {
+    const result = await backendStore.apiPut<{
+      status: string;
+      message: string;
+      engine_reloaded: boolean;
+    }>("/api/config", { settings });
+
+    // Refresh the local config tree so the UI stays in sync
+    await fetchConfig();
+
+    return result;
+  } catch (err) {
+    error = err instanceof Error ? err.message : String(err);
+    console.error("[config] updateConfig failed:", error);
+    throw err;
+  } finally {
+    loading = false;
+  }
+}
+
+export const configStore = {
+  get config() {
+    return config;
+  },
+  get loading() {
+    return loading;
+  },
+  get error() {
+    return error;
+  },
+  fetchConfig,
+  updateConfig,
+};

src/lib/stores/config.test.ts

@@ -0,0 +1,48 @@
+import { describe, it, expect, vi } from "vitest";
+
+// Mock fetch so the backend store module doesn't make real requests
+vi.stubGlobal(
+  "fetch",
+  vi.fn(() =>
+    Promise.resolve({
+      ok: true,
+      json: () => Promise.resolve({}),
+    })
+  )
+);
+
+// Mock WebSocket for the backend store dependency
+class MockWebSocket {
+  onopen: ((ev: Event) => void) | null = null;
+  onclose: ((ev: CloseEvent) => void) | null = null;
+  onmessage: ((ev: MessageEvent) => void) | null = null;
+  onerror: ((ev: Event) => void) | null = null;
+  close = vi.fn();
+}
+vi.stubGlobal("WebSocket", MockWebSocket);
+
+import { configStore } from "./config.svelte.ts";
+
+describe("config store", () => {
+  it("test_has_fetchConfig_method", () => {
+    expect(typeof configStore.fetchConfig).toBe("function");
+  });
+
+  it("test_has_updateConfig_method", () => {
+    expect(typeof configStore.updateConfig).toBe("function");
+  });
+
+  it("test_config_defaults_have_expected_keys", () => {
+    const cfg = configStore.config;
+    expect(cfg).toHaveProperty("user");
+    expect(cfg).toHaveProperty("audio");
+    expect(cfg).toHaveProperty("transcription");
+    expect(cfg).toHaveProperty("display");
+    expect(cfg).toHaveProperty("remote");
+    expect(cfg).toHaveProperty("updates");
+  });
+
+  it("test_remote_config_has_byok_api_key", () => {
+    expect(configStore.config.remote.byok_api_key).toBeDefined();
+  });
+});

src/lib/stores/file-extension.test.ts

@@ -0,0 +1,34 @@
+import { describe, it, expect } from "vitest";
+import * as fs from "node:fs";
+import * as path from "node:path";
+
+describe("store file extensions", () => {
+  it("test_store_files_use_svelte_ts_extension", () => {
+    const storesDir = path.resolve(__dirname);
+    const files = fs.readdirSync(storesDir);
+
+    // Find .ts files that are NOT .svelte.ts and NOT test files
+    const plainTsFiles = files.filter(
+      (f) =>
+        f.endsWith(".ts") &&
+        !f.endsWith(".svelte.ts") &&
+        !f.endsWith(".test.ts")
+    );
+
+    for (const file of plainTsFiles) {
+      const content = fs.readFileSync(path.join(storesDir, file), "utf-8");
+      expect(content).not.toMatch(
+        /\$state\s*[<(]/,
+        `${file} uses $state() but does not have .svelte.ts extension`
+      );
+      expect(content).not.toMatch(
+        /\$derived\s*[<(]/,
+        `${file} uses $derived() but does not have .svelte.ts extension`
+      );
+      expect(content).not.toMatch(
+        /\$effect\s*[<(]/,
+        `${file} uses $effect() but does not have .svelte.ts extension`
+      );
+    }
+  });
+});

src/lib/stores/transcriptions.svelte.ts

@@ -0,0 +1,109 @@
+/**
+ * Transcriptions store - manages the list of transcription items
+ * received from the backend via WebSocket.
+ */
+
+export interface TranscriptionItem {
+  id: string;
+  text: string;
+  userName: string;
+  timestamp: string;
+  isPreview: boolean;
+}
+
+let items = $state<TranscriptionItem[]>([]);
+let nextId = 0;
+
+function generateId(): string {
+  return `t-${Date.now()}-${nextId++}`;
+}
+
+function addTranscription(data: {
+  text?: string;
+  user_name?: string;
+  timestamp?: string;
+}) {
+  // When a final transcription arrives, remove any existing preview
+  const previewIndex = items.findIndex((item) => item.isPreview);
+  if (previewIndex !== -1) {
+    items.splice(previewIndex, 1);
+  }
+
+  items.push({
+    id: generateId(),
+    text: data.text ?? "",
+    userName: data.user_name ?? "",
+    timestamp: data.timestamp ?? "",
+    isPreview: false,
+  });
+
+  // Keep a reasonable limit
+  if (items.length > 500) {
+    items.splice(0, items.length - 500);
+  }
+}
+
+function setPreview(data: {
+  text?: string;
+  user_name?: string;
+  timestamp?: string;
+}) {
+  const existingIndex = items.findIndex((item) => item.isPreview);
+  const previewItem: TranscriptionItem = {
+    id: existingIndex !== -1 ? items[existingIndex].id : generateId(),
+    text: data.text ?? "",
+    userName: data.user_name ?? "",
+    timestamp: data.timestamp ?? "",
+    isPreview: true,
+  };
+
+  if (existingIndex !== -1) {
+    items[existingIndex] = previewItem;
+  } else {
+    items.push(previewItem);
+  }
+}
+
+function clearAll() {
+  items.length = 0;
+}
+
+function getPlainText(): string {
+  return items
+    .filter((item) => !item.isPreview)
+    .map((item) => {
+      let line = "";
+      if (item.timestamp) line += `[${item.timestamp}] `;
+      if (item.userName) line += `${item.userName}: `;
+      line += item.text;
+      return line;
+    })
+    .join("\n");
+}
+
+// Listen for backend events
+if (typeof window !== "undefined") {
+  window.addEventListener("backend:transcription", ((e: CustomEvent) => {
+    addTranscription(e.detail);
+  }) as EventListener);
+
+  window.addEventListener("backend:preview", ((e: CustomEvent) => {
+    setPreview(e.detail);
+  }) as EventListener);
+}
+
+export const transcriptionStore = {
+  get items() {
+    return items;
+  },
+  get currentPreview(): TranscriptionItem | null {
+    return items.find((item) => item.isPreview) ?? null;
+  },
+  get transcriptions(): TranscriptionItem[] {
+    return items.filter((item) => !item.isPreview);
+  },
+  addTranscription,
+  setPreview,
+  clearAll,
+  getPlainText,
+};

src/lib/stores/transcriptions.test.ts

@@ -0,0 +1,71 @@
+import { describe, it, expect, vi, beforeEach } from "vitest";
+
+// Mock WebSocket for the backend store dependency (loaded transitively)
+class MockWebSocket {
+  onopen: ((ev: Event) => void) | null = null;
+  onclose: ((ev: CloseEvent) => void) | null = null;
+  onmessage: ((ev: MessageEvent) => void) | null = null;
+  onerror: ((ev: Event) => void) | null = null;
+  close = vi.fn();
+}
+vi.stubGlobal("WebSocket", MockWebSocket);
+
+vi.stubGlobal(
+  "fetch",
+  vi.fn(() =>
+    Promise.resolve({
+      ok: true,
+      json: () => Promise.resolve({}),
+    })
+  )
+);
+
+import { transcriptionStore } from "./transcriptions.svelte.ts";
+
+describe("transcriptions store", () => {
+  beforeEach(() => {
+    transcriptionStore.clearAll();
+  });
+
+  it("test_addTranscription", () => {
+    transcriptionStore.addTranscription({
+      text: "Hello world",
+      user_name: "TestUser",
+      timestamp: "12:00:00",
+    });
+
+    expect(transcriptionStore.items.length).toBe(1);
+    expect(transcriptionStore.items[0].text).toBe("Hello world");
+    expect(transcriptionStore.items[0].userName).toBe("TestUser");
+    expect(transcriptionStore.items[0].timestamp).toBe("12:00:00");
+    expect(transcriptionStore.items[0].isPreview).toBe(false);
+  });
+
+  it("test_clearAll", () => {
+    transcriptionStore.addTranscription({ text: "One" });
+    transcriptionStore.addTranscription({ text: "Two" });
+    expect(transcriptionStore.items.length).toBe(2);
+
+    transcriptionStore.clearAll();
+    expect(transcriptionStore.items.length).toBe(0);
+  });
+
+  it("test_getPlainText", () => {
+    transcriptionStore.addTranscription({
+      text: "Hello",
+      user_name: "Alice",
+      timestamp: "10:00",
+    });
+    transcriptionStore.addTranscription({
+      text: "World",
+      user_name: "Bob",
+      timestamp: "10:01",
+    });
+
+    const text = transcriptionStore.getPlainText();
+    expect(text).toContain("[10:00] Alice: Hello");
+    expect(text).toContain("[10:01] Bob: World");
+    // Lines separated by newline
+    expect(text.split("\n").length).toBe(2);
+  });
+});

src/main.ts

@@ -0,0 +1,6 @@
+import App from "./App.svelte";
+import { mount } from "svelte";
+import "./app.css";
+
+const app = mount(App, { target: document.getElementById("app")! });
+export default app;

svelte.config.js

@@ -0,0 +1,5 @@
+import { vitePreprocess } from "@sveltejs/vite-plugin-svelte";
+
+export default {
+  preprocess: vitePreprocess(),
+};

tsconfig.json

@@ -0,0 +1,15 @@
+{
+  "extends": "@tsconfig/svelte/tsconfig.json",
+  "compilerOptions": {
+    "target": "ESNext",
+    "useDefineForClassFields": true,
+    "module": "ESNext",
+    "resolveJsonModule": true,
+    "allowJs": true,
+    "checkJs": true,
+    "isolatedModules": true,
+    "moduleDetection": "force",
+    "strict": true
+  },
+  "include": ["src/**/*.ts", "src/**/*.svelte"]
+}

version.py

@@ -1,7 +1,7 @@
 """Version information for Local Transcription."""
 
-__version__ = "1.4.0"
-__version_info__ = (1, 4, 0)
+__version__ = "2.0.8"
+__version_info__ = (2, 0, 8)
 
 # Version history:
 # 1.4.0 - Auto-update feature:

vite.config.ts

@@ -0,0 +1,26 @@
+import { defineConfig } from "vite";
+import { svelte } from "@sveltejs/vite-plugin-svelte";
+import path from "path";
+
+// https://vitejs.dev/config/
+export default defineConfig({
+  plugins: [svelte()],
+  clearScreen: false,
+  resolve: {
+    alias: {
+      $lib: path.resolve("./src/lib"),
+    },
+    extensions: [".svelte.ts", ".ts", ".svelte", ".js", ".mjs", ".mts"],
+  },
+  server: {
+    port: 1420,
+    strictPort: true,
+    watch: {
+      ignored: ["**/src-tauri/**", "**/client/**", "**/server/**", "**/backend/**", "**/gui/**"],
+    },
+  },
+  test: {
+    environment: "jsdom",
+    include: ["src/**/*.test.ts"],
+  },
+});