Added platform-specific icon support for both the running application
and compiled executables:
New files:
- create_icons.py: Script to convert PNG to platform-specific formats
- Generates .ico for Windows (16, 32, 48, 256px sizes)
- Generates .iconset for macOS (ready for iconutil conversion)
- LocalTranscription.png: Source icon image
- LocalTranscription.ico: Windows icon file (multi-size)
- LocalTranscription.iconset/: macOS icon set (needs iconutil on macOS)
GUI changes:
- main.py: Set application-wide icon for taskbar/dock
- main_window_qt.py: Set window icon for GUI window
Build configuration:
- local-transcription.spec: Use platform-specific icons in PyInstaller
- Windows builds use LocalTranscription.ico
- macOS builds use LocalTranscription.icns (when generated)
To generate macOS .icns file on macOS:
iconutil -c icns LocalTranscription.iconset
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
**Splash Screen Features:**
- Shows "Local Transcription" branding during startup
- Displays progress messages as app initializes
- Prevents users from clicking multiple times while loading
- Clean dark theme matching app design
**Implementation:**
- Created splash screen with custom pixmap drawing
- Updates messages during initialization phases:
- "Loading configuration..."
- "Creating user interface..."
- "Starting web server..."
- "Loading Whisper model..."
- Automatically closes when main window is ready
- Always stays on top to remain visible
**Benefits:**
- Better user experience during model loading (2-5 seconds)
- Prevents multiple app instances from confusion
- Professional appearance
- Clear feedback that app is starting
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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>
