The v0.3.0-alpha release was created before the --tag feature was
added to install.sh, so installing from that tag fails with "Unknown
option: --tag=v0.3.0-alpha".
Solution: Always download install.sh from main (which has --tag support)
and pass the release tag as a parameter. This ensures users get a working
installer that can install the specific stable release.
Changes:
- web/src/app/page.tsx: Download from main instead of ${latestRelease}
- README.md: Update install commands to download from main
- docs/INSTALL.md: Update install command
- .github/workflows/release.yml: Update release notes
* fix: Use latest release tag for install commands instead of main branch
The web install commands previously pointed to install.sh from the main branch,
which could be unstable/untested code. Now they dynamically fetch the latest
release tag from GitHub API and use that for the install script URLs.
Changes:
- Add getInstallCommands() function that takes a release tag
- Add latestRelease state that fetches from GitHub releases API
- Update all install commands to use the fetched release tag
- Fallback to 'main' if GitHub API fails
* docs: Update README and docs to use latest release tag
Also update GitHub release workflow to use the release tag dynamically.
Changes:
- README.md: Update install commands to use v0.3.0-alpha tag
- docs/INSTALL.md: Update install command to use v0.3.0-alpha tag
- .github/workflows/release.yml: Use ${{ github.ref_name }} for install URL
- Add note pointing to GitHub Releases for latest version
---------
Co-authored-by: Claude Opus <noreply@anthropic.com>
Add support for French, German, and Russian languages in both VOSK and Whisper engines.
- Adds language configuration to config system
- Adds --language command-line argument
- Creates vosk_model_info.py utility for model mapping
- Supports en-us, fr, de, ru languages
- Merged with latest main including PR #70 (Debian 13+ appindicator fix)
Co-Authored-by: Artem Lytvynov <violog@users.noreply.github.com>
* feat: Make Whisper tiny the default engine and download during install
- Changed default engine from 'vosk' to 'whisper' in config_manager.py
- Changed default model_size from 'small' to 'tiny' in config_manager.py
- Added install_whisper_model() function to install.sh that downloads
the Whisper tiny model (~75MB) during installation
- Whisper model is downloaded when Whisper package is installed
(in non-interactive mode or with --with-whisper flag)
- Updated installation summary to show Whisper model status
- Updated documentation (README.md, INSTALL.md, SECURITY.md, USER_GUIDE.md)
to reflect Whisper tiny as the default engine
This provides a better out-of-box experience: users can install and
immediately use Vocalinux without any additional downloads or prompts.
* test: Update test to reflect whisper as default engine
- INSTALL.md: Add curl install as recommended, add --no-whisper flag
- CONTRIBUTING.md: Fix activation instructions for source installs
- README.md: Fix development setup to use venv/bin/activate
All docs now reflect:
- curl | bash installs Whisper by default
- --no-whisper for faster VOSK-only install
- Correct venv activation paths
* feat: prepare for v0.2.0-alpha release
* feat: prepare for v0.2.0-alpha release
* chore: remove CHANGELOG.md, use GitHub Releases instead
* refactor: use existing About dialog instead of Settings section
* style: enhance About dialog UI readability
* style: fix formatting with black and isort
* feat: show VAD and silence timeout settings for Whisper engine
- Renamed 'VOSK Settings' to 'Recognition Settings'
- VAD Sensitivity and Silence Timeout now apply to both engines
- Added tooltips explaining each setting
- VOSK-specific model info only shown when VOSK selected
* fix: resolve overlapping UI elements in settings dialog
* fix: save VAD and silence timeout settings for both engines
Previously these settings were only saved when VOSK was selected.
Now they persist correctly for Whisper as well.
* fix: show download progress when selecting undownloaded model
Previously when auto-applying settings, models would download silently
in the background without showing the progress dialog. Now:
- Download progress dialog appears for undownloaded models
- Model icons update correctly after download completes
* feat: add download progress, speed, ETA and cancel button
- Show real download progress percentage for VOSK models
- Display download speed (MB/s) and estimated time remaining
- Add Cancel button to abort downloads
- Update status during extraction phase
- Whisper downloads still pulse (uses internal downloader)
* fix: defer model download until needed, don't block startup
- App now starts instantly even if models aren't downloaded
- Models are downloaded on-demand when selected in Settings
- If user tries to dictate without a model, plays error sound
- Added model_ready property to check if engine is usable
* fix: improve first-run UX without downloaded models
- Settings dialog now defaults to smallest available model, not saved config
- Only show saved model if it's actually downloaded
- Add desktop notification when trying to dictate without a model
- Prevents auto-downloading large models on first launch
* feat: add download progress tracking for Whisper models
- Implement custom Whisper model download with progress/speed/ETA
- Uses OpenAI's CDN URLs directly instead of whisper.load_model()
- Progress callback works the same as VOSK downloads
- Supports cancellation during download
* fix: enable download progress callback for Whisper models
Progress callback was only being set for VOSK downloads, not Whisper.
Now both engines show real-time progress, speed, and ETA.
* fix: update tests for defer_download and config manager mocking
- test_main: Mock ConfigManager to prevent saved config from overriding test values
- test_settings_dialog: Mock ModelDownloadDialog to prevent GTK init errors
- test_speech_recognition: Use proper MockVoskModule class instead of MagicMock, pass defer_download=False for download test
- test_whisper_support: Pass defer_download=False to trigger model loading in test
* fix: resolve test failures for CI
- test_main: Fix ConfigManager patch path to use source module
- test_settings_dialog: Mock _is_vosk_model_downloaded and _is_whisper_model_downloaded to skip download flow, add missing dialog attributes
- test_speech_recognition: Replace recognizer with properly configured mock that returns valid JSON, fixing test isolation issues when running all tests together
* fix: mock _download_whisper_model in whisper test to avoid requests exception handling issue
* fix: add gir1.2-girepository-2.0 dep for PyGObject on Ubuntu 24.04
- Add missing girepository-2.0 package for newer Ubuntu runners
- Use --no-build-isolation for PyGObject to use system packages
* fix: skip PyGObject pip install, use system python3-gi package
- Use --no-deps for editable install to skip PyGObject
- Install other deps explicitly without PyGObject
- Add python3-gi-cairo for complete GTK support
- Removes problematic girepository-2.0 build requirement
* fix: install PyGObject via pip with proper build deps
- Remove python3-gi/python3-gi-cairo (doesn't work with setup-python)
- Install PyGObject from pip after installing build dependencies
- Simplify venv setup without --system-site-packages hack
* Fix GObject
* fix: set GI_TYPELIB_PATH for pip-installed PyGObject to find AppIndicator3
* Implement custom icon for Vocalinux (Closes#10)
* Fix system tray icon display issue
* Temp commit before purging
* refactor: restructure project into proper vocalinux package
* test: fix and improve audio_feedback and tray_indicator tests with proper mocking and isolation
* test: update import paths in test files to use the new package structure
* Remove icon background
* fix: implement robust resource path discovery in audio_feedback module
* fix: improve resource discovery across application for consistent icon and sound loading
* chore: ensure uninstall script is compatible with new resource paths
* Fix black formatting
