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>
57 lines
1.7 KiB
Batchfile
57 lines
1.7 KiB
Batchfile
@echo off
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REM Build script for Windows 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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set /p INSTALL_CUDA="Install PyTorch with CUDA support? (y/n) "
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if /i "%INSTALL_CUDA%"=="y" (
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echo Installing PyTorch with CUDA 12.1 support...
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REM Uninstall CPU-only version if present
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uv pip uninstall -y torch
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REM Install CUDA-enabled PyTorch
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REM 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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)
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REM Clean previous builds
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echo Cleaning previous builds...
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if exist build rmdir /s /q build
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if exist dist rmdir /s /q dist
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REM Build with PyInstaller
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echo Running PyInstaller...
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uv run pyinstaller local-transcription.spec
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REM Check if build succeeded
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if exist "dist\LocalTranscription" (
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echo.
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echo Build successful!
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echo Executable location: dist\LocalTranscription\LocalTranscription.exe
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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.exe
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echo.
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echo To create a distributable package:
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echo - Compress the dist\LocalTranscription folder to a ZIP file
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echo - Name it: LocalTranscription-Windows-CUDA.zip
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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 /b 1
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)
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