Josh Knapp
472233aec4
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>
58 lines
1.7 KiB
Bash
Executable File
58 lines
1.7 KiB
Bash
Executable File
#!/bin/bash
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# Build script for Linux with CUDA support
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echo "Building Local Transcription with CUDA support..."
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echo "=================================================="
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echo ""
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echo "This will create a build that supports both CPU and CUDA GPUs."
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echo "The executable will be larger (~2-3GB) but will work on any system."
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echo ""
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# Check if we should install CUDA-enabled PyTorch
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read -p "Install PyTorch with CUDA support? (y/n) " -n 1 -r
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echo
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if [[ $REPLY =~ ^[Yy]$ ]]
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then
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echo "Installing PyTorch with CUDA 12.1 support..."
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# Uninstall CPU-only version if present
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uv pip uninstall -y torch
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# Install CUDA-enabled PyTorch
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# This installs PyTorch with bundled CUDA runtime
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uv pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
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echo "✓ CUDA-enabled PyTorch installed"
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echo ""
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fi
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# Clean previous builds
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echo "Cleaning previous builds..."
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rm -rf build dist
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# Build with PyInstaller
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echo "Running PyInstaller..."
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uv run pyinstaller local-transcription.spec
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# Check if build succeeded
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if [ -d "dist/LocalTranscription" ]; then
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echo ""
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echo "✓ Build successful!"
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echo "Executable location: dist/LocalTranscription/LocalTranscription"
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echo ""
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echo "CUDA Support: YES (falls back to CPU if CUDA not available)"
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echo ""
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echo "To run the application:"
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echo " cd dist/LocalTranscription"
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echo " ./LocalTranscription"
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echo ""
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echo "To create a distributable package:"
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echo " cd dist"
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echo " tar -czf LocalTranscription-Linux-CUDA.tar.gz LocalTranscription/"
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echo ""
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echo "Note: This build will work on systems with or without NVIDIA GPUs."
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else
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echo ""
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echo "✗ Build failed!"
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exit 1
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fi
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