Initial commit: Local Transcription App v1.0

Phase 1 Complete - Standalone Desktop Application

Features:
- Real-time speech-to-text with Whisper (faster-whisper)
- PySide6 desktop GUI with settings dialog
- Web server for OBS browser source integration
- Audio capture with automatic sample rate detection and resampling
- Noise suppression with Voice Activity Detection (VAD)
- Configurable display settings (font, timestamps, fade duration)
- Settings apply without restart (with automatic model reloading)
- Auto-fade for web display transcriptions
- CPU/GPU support with automatic device detection
- Standalone executable builds (PyInstaller)
- CUDA build support (works on systems without CUDA hardware)

Components:
- Audio capture with sounddevice
- Noise reduction with noisereduce + webrtcvad
- Transcription with faster-whisper
- GUI with PySide6
- Web server with FastAPI + WebSocket
- Configuration system with YAML

Build System:
- Standard builds (CPU-only): build.sh / build.bat
- CUDA builds (universal): build-cuda.sh / build-cuda.bat
- Comprehensive BUILD.md documentation
- Cross-platform support (Linux, Windows)

Documentation:
- README.md with project overview and quick start
- BUILD.md with detailed build instructions
- NEXT_STEPS.md with future enhancement roadmap
- INSTALL.md with setup instructions

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

build-cuda.sh

@@ -0,0 +1,57 @@
+#!/bin/bash
+# Build script for Linux with CUDA support
+
+echo "Building Local Transcription with CUDA support..."
+echo "=================================================="
+echo ""
+echo "This will create a build that supports both CPU and CUDA GPUs."
+echo "The executable will be larger (~2-3GB) but will work on any system."
+echo ""
+
+# Check if we should install CUDA-enabled PyTorch
+read -p "Install PyTorch with CUDA support? (y/n) " -n 1 -r
+echo
+if [[ $REPLY =~ ^[Yy]$ ]]
+then
+    echo "Installing PyTorch with CUDA 12.1 support..."
+    # Uninstall CPU-only version if present
+    uv pip uninstall -y torch
+
+    # Install CUDA-enabled PyTorch
+    # This installs PyTorch with bundled CUDA runtime
+    uv pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+
+    echo "✓ CUDA-enabled PyTorch installed"
+    echo ""
+fi
+
+# Clean previous builds
+echo "Cleaning previous builds..."
+rm -rf build dist
+
+# Build with PyInstaller
+echo "Running PyInstaller..."
+uv run pyinstaller local-transcription.spec
+
+# Check if build succeeded
+if [ -d "dist/LocalTranscription" ]; then
+    echo ""
+    echo "✓ Build successful!"
+    echo "Executable location: dist/LocalTranscription/LocalTranscription"
+    echo ""
+    echo "CUDA Support: YES (falls back to CPU if CUDA not available)"
+    echo ""
+    echo "To run the application:"
+    echo "  cd dist/LocalTranscription"
+    echo "  ./LocalTranscription"
+    echo ""
+    echo "To create a distributable package:"
+    echo "  cd dist"
+    echo "  tar -czf LocalTranscription-Linux-CUDA.tar.gz LocalTranscription/"
+    echo ""
+    echo "Note: This build will work on systems with or without NVIDIA GPUs."
+else
+    echo ""
+    echo "✗ Build failed!"
+    exit 1
+fi