Unix runners use the bash install script, Windows uses the PowerShell
installer. Both check if uv is already present first.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
astral-sh/setup-uv is not available on Gitea's action registry.
Use the official install script instead, skipping if uv is already present.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- CI: install uv via astral-sh/setup-uv, use uv to install Python
and run the build script (replaces setup-python which fails on
self-hosted macOS runners)
- build_sidecar.py: auto-detects uv and uses it for venv creation
and package installation (much faster), falls back to standard
venv + pip when uv is not available
- Remove .github/workflows duplicate
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Set AGENT_TOOLSDIRECTORY via step-level env on setup-python (not
GITHUB_ENV which only applies to subsequent steps)
- Use runner.temp for toolcache dir (always writable, no sudo needed)
- Remove .github/workflows/build.yml to prevent duplicate CI runs
- Remove unused Windows env check step
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Set AGENT_TOOLSDIRECTORY to a workspace-local path so setup-python
doesn't need /Users/runner or sudo access.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The app name is already in the window title bar, so the in-header
"Voice to Notes" heading was redundant and had poor contrast.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
When editing a segment, word timing is now intelligently redistributed:
- Spelling fixes (same word count): each word keeps its original timing
- Word splits (e.g. "gonna" → "going to"): original word's time range
is divided proportionally across the new words
- Inserted words: timing interpolated from neighboring words
- Deleted words: remaining words keep their timing, gaps collapse
This preserves click-to-seek accuracy for common edits like fixing
misheard words or splitting concatenated words.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
When the edited text has the same word count as the original (e.g. fixing
"Whisper" to "wisper"), each word keeps its original start/end timestamps.
Only falls back to segment-level timing when words are added or removed.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The display renders segment.words (not segment.text), so editing the text
field alone had no visible effect. Now finishEditing() rebuilds the words
array from the edited text so the change is immediately visible.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Project files (.vtn):
- Save Project: serializes transcript, speakers, audio path to JSON file
- Open Project: loads .vtn file, restores audio/transcript/speakers
- User chooses filename and location via save dialog
- Replaces SQLite-based project persistence (DB commands remain for future use)
- Text edits update in-memory store immediately, persist on explicit save
- Fix Windows path separator in project name extraction
AI chat:
- Markdown rendering in assistant messages (headers, lists, bold, code)
- Better visual distinction with border-left accents
- Styled markdown elements for dark theme
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add update_segment Tauri command (calls existing update_segment_text query)
- Wire onTextEdit handler from TranscriptEditor to invoke update_segment
- Edits are saved to SQLite immediately when user presses Enter
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Project persistence:
- save_project_transcript command: persists segments, speakers, words to SQLite
- load_project_transcript command: loads full transcript with nested words
- delete_project command: soft-delete projects
- Auto-save after pipeline completes (named from filename)
- Project dropdown in header to switch between saved transcripts
- Projects load audio, segments, and speakers from database
AI chat improvements:
- Markdown rendering in assistant messages (headers, lists, bold, italic, code)
- Better message spacing and visual distinction (border-left accents)
- Styled markdown elements matching dark theme
- Improved empty state and quick action button sizing
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
upload-artifact@v4 and download-artifact@v4 require GitHub's backend
and are not supported on Gitea. v3 works with Gitea Actions.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Create /Users/runner directory on macOS before setup-python (permission fix)
- Use `python -m pip` everywhere instead of calling pip directly (Windows fix)
- Refactor build_sidecar.py to use pip_install() helper via python -m pip
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- pip/setuptools/wheel for sidecar build step
- jq/curl for release API calls
- create-dmg for macOS bundling
- Linux system deps (gtk, webkit, patchelf)
- Validation check on release creation
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Creates a pre-release with all platform artifacts on every push to main.
Uses BUILD_TOKEN secret for Gitea API authentication.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Move the blocking pipeline() call to a daemon thread and emit estimated
progress messages every 2 seconds from the main thread. The progress
estimate uses audio duration to calibrate the expected total time.
Also pass audio_duration_sec from PipelineService to DiarizeService.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Split files >1 hour into 5-minute chunks via ffmpeg, transcribe each
chunk independently, then merge results with corrected timestamps.
Also add chunk-level progress markers every 10 segments for all files.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Previously, progress messages were only sent every 5th segment due to
a `segment_count % 5` guard. This made the UI feel unresponsive for
short recordings with few segments. Now every segment emits a progress
update with a more descriptive message including the segment number
and audio percentage.
Adds a test verifying that all 8 mock segments produce progress
messages, not just every 5th.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
ClaudeandClaude Opus 4.6