jknapp
be53f2e962
The enum34 package is an obsolete backport of Python's enum module and is incompatible with PyInstaller on Python 3.4+. It was being pulled in as a transitive dependency by pvporcupine (part of RealtimeSTT's dependencies). Changes: - All build scripts now remove enum34 before running PyInstaller - build.bat, build-cuda.bat (Windows) - build.sh, build-cuda.sh (Linux) - Added "uv pip uninstall -q enum34" step after cleaning builds - Removed attempted pyproject.toml override (not needed with this fix) This fix allows PyInstaller to bundle the application without errors while still maintaining all RealtimeSTT functionality (enum is part of Python stdlib since 3.4). Resolves: PyInstaller error "enum34 package is incompatible" 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
62 lines
1.9 KiB
Batchfile
62 lines
1.9 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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REM Note: uv doesn't support -y flag, it uninstalls without confirmation
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uv pip uninstall torch 2>nul
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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 Remove enum34 if present (incompatible with PyInstaller)
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echo Removing enum34 (if present)...
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uv pip uninstall -q enum34 2>nul
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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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