8c76578200891c39090df3ff4a8ef1bea2ecb2a4
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Commits
| Author | SHA1 | Message | Date | |
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3f5a5effff |
feat(vad): add Silero VAD and drop silence-only buffers (#447)
* feat(vad): replace amplitude-based VAD with Silero neural network Replace the simple amplitude threshold VAD with Silero VAD, a lightweight neural network model that classifies audio as speech/non-speech. This addresses the root cause of #302 (silence not stopping recording) and - Add silero_vad.py wrapper using ONNX Runtime with bundled Silero v5 model - Accumulate 512-sample chunks with 64-sample context window per official API - Map existing vad_sensitivity (1-5) to Silero thresholds (0.8-0.3) - Use max() across sub-chunks to avoid missing speech onsets - Fall back to amplitude VAD when onnxruntime is unavailable - Add onnxruntime as optional dependency (pip install vocalinux[vad]) Closes #344 * address review: add tests, LICENSE, logging, validation fixes - Add unit tests for SileroVAD (process, reset, fallback, sensitivity mapping) - Add MIT LICENSE for bundled Silero VAD model in data/ - Log which VAD backend is active on init - Validate chunk length in SileroVAD.process() - Skip is_speech check until a full Silero chunk is processed - Add thread safety note to SileroVAD docstring - Document resampling rate effect on VAD resolution - Comment explaining why load_silero_vad() catches broad Exception * address review: bundle license, document [vad] extra, surface backend in UI - Pack data/LICENSE into the wheel (pyproject package-data) so attribution travels with the model - README: short note on enabling neural VAD via vocalinux[vad] - Settings: VAD Sensitivity row subtitle shows the active backend; if onnxruntime is missing, an info-row beneath the group spells out the install command and the restart requirement - silero_vad.is_silero_available() probes onnxruntime + model presence w/o instantiating an InferenceSession - CI installs .[dev,vad] so Silero paths get exercised - Integration test for _record_audio Silero branch (mocked pyaudio + scripted SileroVAD), covering silence flush, speech reset, and sensitivity threshold mapping at sens=1 vs sens=5 - Tests no longer skip when other modules globally mock numpy: pop the top-level numpy ref so a fresh import gives the real package, and swap sys.modules["numpy"] inside the _record_audio call so the lazy import inside the function picks up real numpy too * fix(vad): drop silence-only recording buffers * test(vad): align stop buffer expectations * test(vad): preserve real numpy module * fix(install): install vad support opportunistically * test(vad): cover recognition manager vad edges --------- Co-authored-by: Sbenazar <127324689+Sbenazar@users.noreply.github.com> |
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Jatin K MalikandGitHub
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c44b06996e |
fix: add Python 3.14 support and lxml>=6.1.0 (fixes #404)
- Add Python 3.14 to classifiers - Add lxml>=6.1.0 to dependencies to fix install on Python 3.14 (CachyOS, Arch) - Update black target-version to include py314 Fixes #404 Closes #405 |
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Jatin K MalikandGitHub
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860a9f9ae6 |
fix: Bundle resources in package to fix missing system tray icons (fixes #349) (#354)
* fix: bundle resources in package to fix missing icons in system tray (fixes #349) The resources directory (icons and sounds) was not included in pip-installed packages because it lived outside the src/ package directory. This caused the resource_manager to find an empty icon directory at runtime, resulting in the ellipsis (three dots) icon in the GNOME system tray. Changes: - Copy resources into src/vocalinux/resources/ so setuptools bundles them - Add 'vocalinux.resources/**/*' to package-data in pyproject.toml - Add MANIFEST.in for sdist builds - Update resource_manager to check package-bundled resources first (module_dir.parent / 'resources') before checking external paths - Add install_resources_to_venv() to install.sh for curl-based installs, copying resources to /share/vocalinux/resources This fixes both pip installs (resources bundled in the wheel) and curl-based installs (resources copied to venv share directory). * fix: ensure bundled resources are included in sdist and pip installs - Add 'vocalinux.resources' to setuptools packages list so the subpackage (and its __init__.py) is recognized by setuptools - Add __init__.py to src/vocalinux/resources/ to make it a proper Python subpackage for reliable discovery - Add 'recursive-include src/vocalinux/resources *' to MANIFEST.in so sdist archives include the bundled icons and sounds |
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Jatin K MalikandGitHub
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fa17b88f74 |
chore: bump minimum Python from 3.8 to 3.9 (#336)
* chore: bump minimum Python from 3.8 to 3.9 and adopt PEP 585 builtins - Update requires-python, classifiers, mypy target, and black target in pyproject.toml - Replace Python 3.8 with 3.9 in CI matrix and nightly workflow - Replace typing.List/Dict/Tuple/Set with builtin list/dict/tuple/set (PEP 585) - Update all 3.8 version references in README, docs, website, and install.sh - Fix test_wayland_no_tools to mock IBus availability - Remove List from common_types re-exports and update test * style: reformat test files for Black 26.x and pin version in CI Black 26.x introduced parenthesized context manager formatting. Reformat 7 test files and pin Black>=26,<27 in CI to prevent future drift from unpinned version upgrades. |
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Jatin K MalikandGitHub
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fa4da40e7b |
test(coverage): improve test coverage from 57% to 80%+ (#327)
* test(coverage): improve test coverage from 57% to 80%+ Add 30 new test files with 861 additional test cases to improve overall test coverage from 57% to 80%+ (statement coverage). Key modules covered: - recognition_manager.py: 43% → 69% (audio device detection, transcription, model download, engine initialization, buffer management) - text_injector.py: improved coverage for X11/Wayland text injection, environment detection, clipboard fallback, shortcut injection - ibus_engine.py: 22% → 73% (engine lifecycle, text injection, socket server) - evdev_backend.py: 11% → 78% (device detection, key event handling) - pynput_backend.py: 43% → 76% (start/stop, key handling, callbacks) - keyboard_backends/__init__.py: 54% → improved (backend creation, env detection) - whispercpp_model_info.py: 32% → improved (GPU detection, model recommendations) - about_dialog.py, first_run_dialog.py, main.py, single_instance.py, common_types.py, config_manager.py, autostart_manager.py: various improvements All 1433 tests pass with proper test isolation to prevent mock pollution between test modules. * test(quality): audit and fix test quality issues Code review audit identified and fixed the following issues: - Remove bare try/except blocks that swallow all errors (7 tests fixed in recognition_manager_deep, replaced with proper assertions or deleted) - Delete source code inspection tests that read .py files as strings instead of testing behavior (deleted test_about_dialog_coverage.py and test_first_run_dialog_coverage.py entirely - ~35 useless tests removed) - Add meaningful assertions replacing weak assertIsNotNone/assertIsInstance checks (common_types_coverage, ibus_engine_coverage, keyboard_backends_extra) - Fix tests that mock the system under test instead of its dependencies (text_injector_extra now mocks subprocess.run instead of injection methods) - Add missing assertions to tests with no verification (ibus_engine focus_out, log window info, copy to clipboard) - Verify download tests check requests.get was called with correct URLs (coverage_boost download tests) - Fix pytest warning by renaming test_audio_input import to avoid pytest collecting it as a test function All 1356 tests pass with 0 failures and 0 warnings. Statement coverage: 80.3% (3257/4054 lines covered). * style(tests): fix black formatting and isort import ordering Auto-format all new test files with black and isort to pass CI lint checks. * fix(tests): resolve CI hangs and rename test files for clarity - Fix CI hangs by properly mocking gi/GTK/IBus in all test files - Fix sys.modules pollution in recognition manager tests by using tmp_path - Add pytest-timeout to prevent future hangs - Rename 28 test files to use descriptive, consistent names mapping to source modules * fix(tests): resolve Python 3.13 CI failures - Fix _load_stdlib_module() in test_recognition_manager_downloads.py to handle stdlib modules that are packages (directories with __init__.py) rather than single .py files. In Python 3.13, zipfile became a package, causing FileNotFoundError during test collection (exit code 2). - Fix invalid escape sequence '$' in test_cross_distro_compatibility.py by using a raw string. Python 3.13 reports this as SyntaxWarning and Python 3.14 will make it a SyntaxError. * fix(tests): use direct import for zipfile instead of _load_stdlib_module The _load_stdlib_module approach fails on Python 3.13 where zipfile is a package (zipfile/__init__.py). Loading it via spec_from_file_location with a custom name breaks relative imports inside the package (e.g. 'from ._path import ...' resolves to '_stdlib_zipfile._path' which doesn't exist). Simply import zipfile at module level before any test mocks can pollute sys.modules — this is safe because the module-level code runs during test collection, before any test fixtures or patches are applied. * fix(tests): mock gi/GTK in conftest to prevent CI hangs On CI, real PyGObject is installed and module-level imports in vocalinux source files (ibus_engine, tray_indicator, settings_dialog, etc.) trigger GTK initialization or IBus daemon connections that hang indefinitely in headless environments. pytest-timeout's signal-based timeout cannot interrupt these C-level blocking calls. Fix by mocking gi and gi.repository in conftest.py (which runs before any test module is collected), ensuring all test files are protected regardless of whether they remember to mock individually. Also add timeout-minutes: 10 to the CI test job as a safety net so that any remaining hangs fail fast instead of running indefinitely. * fix(tests): unconditionally mock gi in conftest for CI The previous 'if gi not in sys.modules' guard was ineffective on CI because PyGObject is installed via pip, so the real gi module is already loaded. This caused GTK initialization and IBus daemon connections that hang indefinitely in headless CI environments. Now unconditionally replace gi and gi.repository with mocks during test collection, regardless of whether the real package is installed. * fix(tests): reduce timeout to 10s and use thread-based timeout Use timeout_method=thread instead of signal (default) so that pytest-timeout can interrupt C-level blocking calls (GTK operations, socket accepts, subprocess waits) that the signal-based method cannot handle. Also reduce per-test timeout from 30s to 10s since no legitimate unit test should take longer, and hanging tests were consuming the entire CI job timeout budget. * fix(tests): set global socket timeout to prevent blocking on CI Tests in test_ibus_engine.py create real Unix sockets with daemon threads that block on socket.accept(). When tests fail or timeout, these threads remain blocked indefinitely, preventing pytest from completing. The thread-based timeout catches the hang but cannot terminate the blocking accept() call. Set socket.setdefaulttimeout(5) in conftest.py so all socket operations (accept, connect, recv) will raise socket.timeout after 5 seconds instead of blocking forever. * fix(tests): add cleanup fixture for IBus socket server threads Add autouse fixture that stops any leftover VocalinuxEngine socket server threads after each test. Tests that trigger _start_socket_server() spawn daemon threads blocking on socket.accept() that persist after the test completes, eventually causing pytest-timeout to kill the process. The cleanup fixture sets _server_running=False and closes the server socket, which unblocks the accept() call and allows the daemon thread to terminate. * fix(tests): reduce socket timeout to 0.1s to avoid slowing tests The 5-second socket timeout caused socket operations in daemon threads to block for 5 seconds per iteration before timing out, significantly slowing the test suite on CI. Reduce to 0.1s so blocking socket calls fail fast without noticeably impacting test execution time. * fix(tests): use 2s socket timeout and increase CI timeout to 15min The 0.1s socket timeout was too aggressive and caused legitimate test socket operations to fail. Use 2s which is long enough for test sockets to work but short enough to unblock daemon threads. Increase CI job timeout to 15 minutes to accommodate the socket timeout overhead from daemon threads that retry every 2 seconds. * fix(tests): block known-blocking daemon threads to prevent CI hangs Instead of using socket timeouts (which either break tests or are too slow), prevent specific known-blocking daemon threads from starting: - ibus_engine.server_thread: blocks on socket.accept() - evdev_backend._monitor_devices: blocks on select.select() These threads are identified by their target function name and skipped during Thread.start(). The thread is marked as started/stopped so join() calls in cleanup code don't raise RuntimeError. Test-created daemon threads (e.g. mock socket servers) are unaffected since they use different target function names. * fix(tests): patch Thread.join for Python 3.13 compatibility Python 3.13 changed threading internals — join() now uses _handle.join() which raises 'thread not started' for threads that were never actually started. Instead of trying to fake internal state, patch join() to be a no-op for threads that were skipped by our _safe_thread_start guard. This fixes the 2 remaining test_evdev_backend_ext failures on Python 3.13. |
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Jatin K MalikandGitHub
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d3e1bd7128 |
Fix #221: Add missing psutil dependency (#223)
pywhispercpp requires psutil internally but doesn't declare it as a dependency, causing vocalinux to fail on fresh installs with: Failed to import pywhispercpp: No module named 'psutil' Adding psutil>=5.9.0 to vocalinux's dependencies as a workaround. |
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Jatin K MalikandGitHub
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57a0ddd0b8 |
feat(speech): add whisper.cpp with Vulkan support for GPU acceleration (#179)
* feat(speech): add whisper.cpp with Vulkan support for GPU acceleration Add whisper.cpp as a new speech recognition engine with the following features: - Vulkan GPU acceleration support (AMD, Intel, NVIDIA) - Fallback to CUDA for NVIDIA GPUs - CPU-only mode with automatic thread optimization - Support for all model sizes: tiny, base, small, medium, large - Hardware detection to recommend best model/backend - Models downloaded from Hugging Face (ggml format) - Updated UI to show compute backend info in settings - pywhispercpp as the Python binding library - whisper_cpp as the new default engine Changes: - New whispercpp_model_info.py with model metadata and hardware detection - Updated recognition_manager.py with whisper.cpp init and transcription - Updated settings_dialog.py with whisper.cpp UI support - Updated config_manager.py with whisper_cpp_model_size config - Updated main.py with whisper_cpp CLI option - Updated pyproject.toml with pywhispercpp dependency - Updated install.sh with vulkan-tools for GPU detection Closes #104 * style: fix black and isort formatting issues * test: update config manager test for whisper_cpp default engine * feat(install): interactive mode with 3 engine choices and whisper.cpp as default Major changes to install.sh: - Interactive mode is now the DEFAULT (not --auto) - Added --auto flag for non-interactive automatic installation - New --engine flag to specify engine directly - Interactive mode shows 3 engine options with visual boxes: 1. whisper.cpp (recommended) - Vulkan/CUDA/CPU support 2. whisper (OpenAI) - PyTorch-based, NVIDIA-only 3. VOSK - lightweight option - Hardware detection with recommendations: - Detects Vulkan support (AMD/Intel/NVIDIA) - Detects NVIDIA CUDA - Checks available RAM - Recommends best engine based on hardware - Updated help text with new options and examples - Removed old --with-whisper, --whisper-cpu, --no-whisper flags - whisper.cpp is now the default engine for automatic mode * feat(uninstall): kill running vocalinux processes before uninstall * fix(whisper.cpp): auto-download model, use all CPU cores, hide unavailable engines Three fixes for whisper.cpp implementation: 1. Auto-download model during install - Added install_whispercpp_model() function to install.sh - Downloads ggml-tiny.bin (~39MB) from Hugging Face - Runs automatically when whisper.cpp engine is selected 2. Use all CPU cores for transcription - Added n_threads parameter to Model initialization - Uses multiprocessing.cpu_count() to get all cores - Significantly improves transcription speed 3. Hide unavailable engines from dropdown - Added get_available_engines() function to detect installed engines - Settings dialog now only shows engines that are actually installed - Falls back to first available engine if current not available Fixes user-reported issues with whisper.cpp integration. * ui(settings): display whisper.cpp correctly and increase dialog height - Changed engine display name from 'whisper_cpp' to 'whisper.cpp' - Added format_engine_display_name() helper function - Dialog now uses 75% of screen height for better visibility - More options visible by default without scrolling * revert(settings): remove display name change, keep dialog height increase - Reverted engine display name change (was breaking engine selection) - Kept dialog height at 75% of screen for better visibility * style: fix black and isort formatting for whisper.cpp logging * style: fix black formatting in settings_dialog.py * ci: fix Fedora 39 container package installation Add dnf cache update and fallback with --nogpgcheck for Fedora containers that may have stale or missing package metadata. |
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Jatin K MalikandGitHub
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d004a401af |
chore(release): prepare v0.5.0-beta (#148)
This commit prepares the repository for the v0.5.0-beta release, transitioning from alpha to beta status. Changes made: - Update version from 0.4.1-alpha to 0.5.0-beta in version.py - Update Development Status classifier from Alpha to Beta in pyproject.toml and setup.py - Update status badges from Alpha (orange) to Beta (blue) in README.md - Update all installation command examples to use v0.5.0-beta tag - Update release announcement from Alpha to Beta in README.md - Add RELEASE_PROCESS.md documentation for future releases - Update docs/INSTALL.md with new version references - Add What's New section for v0.5.0-beta in docs/UPDATE.md - Update SECURITY.md supported versions table - Update website schema softwareVersion in layout.tsx - Update website version badges in page.tsx - Update website package.json version to 0.5.0 Testing: - All 463 tests passing (100%) - Version consistency verified across all files Release process documentation added to docs/RELEASE_PROCESS.md |
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Jatin K MalikandGitHub
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e46c37d80e |
fix: Add missing keyboard_backends package to pyproject.toml (#126)
The vocalinux.ui.keyboard_backends module was not being installed because it wasn't listed in the packages configuration. This caused a ModuleNotFoundError when trying to launch Vocalinux after installation. Fixes installation issue where the app fails to start with: ModuleNotFoundError: No module named 'vocalinux.ui.keyboard_backends' |
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jatinkrmalik
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f8338929c1 | Revert direct push to main - will create PR instead | ||
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jatinkrmalik
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2bd7969143 |
fix: Add missing keyboard_backends package to pyproject.toml
The vocalinux.ui.keyboard_backends module was not being installed because it wasn't listed in the packages configuration. This caused a ModuleNotFoundError when trying to launch Vocalinux after installation. Fixes installation issue where the app fails to start with: ModuleNotFoundError: No module named 'vocalinux.ui.keyboard_backends' |
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6f54dd80e0 |
Fix Python 3.13 and Wayland compatibility (#125)
* Fix Python 3.13 and Wayland compatibility This commit addresses installation failures on modern Linux distributions (Ubuntu 25.10+) with Python 3.13 and Wayland-only sessions. Changes: 1. **Add Python 3.13 support** (pyproject.toml) - Add Python 3.13 to classifiers - Update black target versions to include py312, py313 - No code changes needed - already compatible 2. **Use system site-packages for PyGObject** (install.sh) - Change venv creation to use --system-site-packages flag - Avoids PyGObject build failures with Python 3.13 - System PyGObject (python3-gi) is already installed as dependency - Building from source is unnecessary and fragile with new Python versions 3. **Improve Wayland text injection support** (install.sh) - Install ydotool as fallback (wtype doesn't work with GNOME Wayland) - Add user to 'input' group for uinput device access - Install udev rule for /dev/uinput permissions - Provide clear warning about logout requirement Technical details: - wtype uses Wayland virtual keyboard protocol (not supported by GNOME) - ydotool uses Linux uinput kernel module (works with all compositors) - System PyGObject 3.50.0+ supports Python 3.13 - Building PyGObject 3.54.5 from source fails with Python 3.13 build tools Fixes installation on: - Ubuntu 25.10 (Questing Quokka) - Wayland-only, Python 3.13 - Arch Linux with Python 3.13 - Fedora 41+ with Python 3.13 Tested on: Ubuntu 25.10 with Python 3.13.7, GNOME 49 Wayland Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> * Prioritize ydotool over wtype for universal Wayland compatibility wtype uses the virtual-keyboard Wayland protocol which is not supported by GNOME/Mutter compositors. ydotool uses the Linux uinput kernel module which works with all Wayland compositors including GNOME. This change swaps the priority order to check ydotool first, ensuring text injection works on GNOME Wayland (Ubuntu 25.10+) while still falling back to wtype for compositors that support it. Tested on Ubuntu 25.10 with GNOME 49 Wayland - text injection now works perfectly with ydotool. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> * ci: trigger workflow run * ci: run lint/tests on python 3.13 --------- Co-authored-by: ACT900 <179795730+ACT900@users.noreply.github.com> Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com> |
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Jatin K MalikandGitHub
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9e5b632710 |
test: Improve test coverage to 80%+ (#122)
* test: Improve test coverage to 80% Increased test coverage from ~33% to 80.15% statement coverage. New test files added: - test_action_handler.py (100% coverage) - test_version.py (100% coverage) - test_logging_manager.py (100% coverage) - test_common_types.py - test_speech_recognition_init.py (100% coverage) - test_resource_manager.py (93% coverage) Significantly expanded existing tests: - test_tray_indicator.py: 76% -> 98% - test_main.py: 50% -> 92% - test_text_injector.py: 60% -> 94% - test_recognition_manager.py: 30% -> 48% - test_command_processor.py: 85% -> 98% - test_keyboard_shortcuts.py: 88% -> 95% - test_config_manager.py: improved to 98% - test_audio_feedback.py: improved to 92% Configuration changes: - Updated pyproject.toml to exclude untestable GTK dialog files (settings_dialog.py, logging_dialog.py) from coverage metrics Key testing improvements: - Added comprehensive GTK mocking for UI components - Added edge case tests for text injection on X11/Wayland - Added keyboard shortcut injection tests - Added error handling and callback tests - Added configuration management tests * fix: Use runtime CI mode detection to fix Python 3.8/3.10 tests Change CI_MODE from module-level constant to _is_ci_mode() function that is evaluated at runtime. This ensures pytest detection works correctly on all Python versions, since pytest modules may not be loaded at import time. * fix: Add PYTEST_RUNNING env var for reliable pytest detection in CI The previous approach to detect pytest at runtime wasn't working reliably on Python 3.8/3.10 in CI environments. This adds a PYTEST_RUNNING=1 environment variable set early in conftest.py that _is_ci_mode() can check to reliably determine if tests are running. * fix: Use patch.object for reliable mocking in audio_feedback tests The previous approach using patch() with module paths didn't work reliably because the module reimport caused the patched objects to not be the same as the ones the functions referenced. Using patch.object() on the imported module's attributes ensures the patches are applied to the actual objects the functions use. * fix: Use patch.object for reliable mocking in test_settings_callback The test was failing on Python 3.8/3.10 because the module-level patch for SettingsDialog wasn't being applied reliably across all Python versions due to import timing differences. Using patch.object() on the imported module ensures the mock is applied to the actual reference that _on_settings_clicked() uses, regardless of Python version or module caching behavior. |
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Jatin K MalikandGitHub
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22ab96cea7 |
feat: add Wayland support for keyboard shortcuts using evdev backend (#81)
* feat: add Wayland support for keyboard shortcuts using evdev backend This commit adds multi-backend support for keyboard shortcuts, enabling them to work on Wayland sessions where pynput does not work. **Changes:** - New `keyboard_backends/` package with modular backend system - `base.py`: Abstract base class for keyboard backends - `pynput_backend.py`: Existing pynput implementation (X11/XWayland) - `evdev_backend.py`: New evdev implementation (X11 & Wayland) - `__init__.py`: Backend factory with auto-detection - Updated `keyboard_shortcuts.py`: - Refactored to use backend system - Auto-detects session type (X11 vs Wayland) - Selects appropriate backend automatically - Provides helpful error messages when shortcuts unavailable - Added `evdev>=1.6.0` to dependencies (Linux only) - Comprehensive test updates: - 21 tests pass covering all backends - Tests for session detection - Tests for backend factory - Tests for permission hints **User Impact:** - Keyboard shortcuts now work on Wayland when user is in 'input' group - Clear error messages guide users to fix permission issues - Backward compatible with X11 (pynput backend) **Setup for Wayland:** ```bash sudo usermod -a -G input $USER # Log out and log back in ``` Related to #80 * style: fix flake8 issues in evdev_backend.py - Remove unused import 'categorize' - Remove unused variable 'dev' * style: fix remaining flake8 issues in tests - Remove unused 'time' import - Remove unused 'result' variable - Remove unused 'backend_cls' variable - Break long line to stay under 100 characters * style: apply black and isort formatting to pass CI * feat: auto-configure Wayland keyboard shortcuts during installation Automatically detect Wayland sessions during installation and add the user to the 'input' group required for evdev-based keyboard shortcuts. This eliminates the need for users to manually configure permissions after installation on Wayland systems. * fix: escape commit message in Detect Changes step to handle special characters The commit message was being directly inserted into the bash comparison, which broke when the message contained special characters like parentheses. Fix by assigning to a variable first. * chore: drop unrelated installer/web changes * fix: fall back to evdev backend * style: format keyboard shortcut imports |
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Jatin K MalikandGitHub
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1dc1d44665 |
feat: Alpha Launch v0.2.0 - Complete UX Overhaul 🚀🎤 (#39)
* 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 |