mirror of
https://github.com/jamiepine/voicebox.git
synced 2026-09-17 05:40:42 -07:00
Jamie Pine
94487f32a5
- Added support for MLX backend on Apple Silicon, enabling optimized performance for TTS and STT tasks. - Implemented platform detection to dynamically select between MLX and PyTorch based on the runtime environment. - Updated build process to include MLX-specific dependencies and configurations for macOS. - Refactored backend code to improve model loading and inference logic, accommodating backend-specific requirements. - Enhanced documentation to clarify backend selection and performance benefits for different platforms. - Streamlined installation instructions and troubleshooting guidance for MLX-related issues.
53 lines
1.9 KiB
RPMSpec
53 lines
1.9 KiB
RPMSpec
# -*- mode: python ; coding: utf-8 -*-
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from PyInstaller.utils.hooks import collect_data_files
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from PyInstaller.utils.hooks import collect_submodules
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from PyInstaller.utils.hooks import copy_metadata
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datas = []
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hiddenimports = ['backend', 'backend.main', 'backend.config', 'backend.database', 'backend.models', 'backend.profiles', 'backend.history', 'backend.tts', 'backend.transcribe', 'backend.platform_detect', 'backend.backends', 'backend.backends.pytorch_backend', 'backend.utils.audio', 'backend.utils.cache', 'backend.utils.progress', 'backend.utils.hf_progress', 'backend.utils.validation', 'torch', 'transformers', 'fastapi', 'uvicorn', 'sqlalchemy', 'librosa', 'soundfile', 'qwen_tts', 'qwen_tts.inference', 'qwen_tts.inference.qwen3_tts_model', 'qwen_tts.inference.qwen3_tts_tokenizer', 'qwen_tts.core', 'qwen_tts.cli', 'pkg_resources.extern', 'backend.backends.mlx_backend', 'mlx', 'mlx.core', 'mlx.nn', 'mlx_audio', 'mlx_audio.tts', 'mlx_audio.asr']
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datas += collect_data_files('qwen_tts')
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datas += collect_data_files('mlx')
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datas += collect_data_files('mlx_audio')
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datas += copy_metadata('qwen-tts')
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hiddenimports += collect_submodules('qwen_tts')
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hiddenimports += collect_submodules('jaraco')
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hiddenimports += collect_submodules('mlx')
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hiddenimports += collect_submodules('mlx_audio')
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a = Analysis(
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['server.py'],
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pathex=[],
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binaries=[],
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datas=datas,
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hiddenimports=hiddenimports,
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hookspath=[],
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hooksconfig={},
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runtime_hooks=[],
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excludes=[],
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noarchive=False,
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optimize=0,
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)
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pyz = PYZ(a.pure)
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exe = EXE(
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pyz,
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a.scripts,
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a.binaries,
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a.datas,
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[],
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name='voicebox-server',
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debug=False,
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bootloader_ignore_signals=False,
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strip=False,
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upx=True,
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upx_exclude=[],
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runtime_tmpdir=None,
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console=True,
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disable_windowed_traceback=False,
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argv_emulation=False,
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target_arch=None,
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codesign_identity=None,
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entitlements_file=None,
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)
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