v3ucn / CosyVoice_for_MacOs

CosyVoice在苹果MacOs上使用的版本
Apache License 2.0
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软件dmg打包脚本可以共享一下吗? #4

Open modstart opened 1 month ago

modstart commented 1 month ago

现在想要更新一下最新的版本,想本地重新打包一个版本,请问下有打包步骤或者脚本吗

v3ucn commented 1 month ago

好的,等我先打包一下最新的25hz的试试,以前的不支持25hz

modstart commented 1 month ago

这个是使用pyinstaller打包的吗,学习一下

v3ucn commented 1 month ago

这个是使用pyinstaller打包的吗,学习一下

是 pyinstaller,这是老版的打包配置,新版的25hz还没有测试,估计会报错:

# -*- mode: python ; coding: utf-8 -*-
import sys
sys.setrecursionlimit(5000)
from PyInstaller.utils.hooks import collect_data_files

datas = []
datas += collect_data_files('gradio_client')
datas += collect_data_files('gradio')
datas += collect_data_files('yapf_third_party')

# datas += [('cosyvoice', 'voices','conf','pretrained_models','参考音频')]

a = Analysis(
    ['webui.py',
    'cosyvoice/cli/__init__.py',
    'cosyvoice/cli/cosyvoice.py',
    'cosyvoice/cli/frontend.py',
    'cosyvoice/cli/model.py',
    'cosyvoice/cli/zh_normalization/char_convert.py',
    'cosyvoice/cli/zh_normalization/chronology.py',
    'cosyvoice/cli/zh_normalization/constants.py',
    'cosyvoice/cli/zh_normalization/num.py',
    'cosyvoice/cli/zh_normalization/phonecode.py',
    'cosyvoice/cli/zh_normalization/quantifier.py',
    'cosyvoice/cli/zh_normalization/text_normlization.py',

    'api.py',

    'cosyvoice/flow/decoder.py',
    'cosyvoice/flow/flow_matching.py',
    'cosyvoice/flow/flow.py',
    'cosyvoice/flow/length_regulator.py',

    'cosyvoice/hifigan/f0_predictor.py',
    'cosyvoice/hifigan/generator.py',

    'cosyvoice/llm/llm.py',

    'cosyvoice/transformer/__init__.py',
    'cosyvoice/transformer/activation.py',
    'cosyvoice/transformer/attention.py',
    'cosyvoice/transformer/convolution.py',
    'cosyvoice/transformer/decoder_layer.py',
    'cosyvoice/transformer/decoder.py',
    'cosyvoice/transformer/embedding.py',
    'cosyvoice/transformer/encoder_layer.py',
    'cosyvoice/transformer/encoder.py',
    'cosyvoice/transformer/label_smoothing_loss.py',
    'cosyvoice/transformer/positionwise_feed_forward.py',
    'cosyvoice/transformer/subsampling.py',

    'cosyvoice/utils/__init__.py',
    'cosyvoice/utils/class_utils.py',
    'cosyvoice/utils/common.py',
    'cosyvoice/utils/executor.py',
    'cosyvoice/utils/file_utils.py',
    'cosyvoice/utils/frontend_utils.py',
    'cosyvoice/utils/mask.py',
    'cosyvoice/utils/scheduler.py',
    'cosyvoice/utils/train_utils.py',

    'cosyvoice/dataset/__init__.py',
    'cosyvoice/dataset/dataset.py',
    'cosyvoice/dataset/processor.py',

    ],
    pathex=['/Users/liuyue/Downloads/CosyVoice-mac'],
    binaries=[],
    datas=datas,
    hiddenimports=[],
    hookspath=[],
    hooksconfig={},
    runtime_hooks=[],
    excludes=[],
    noarchive=False,
    optimize=0,
    module_collection_mode={ 'gradio': 'py','cosyvoice': 'py','inflect': 'py','hyperpyyaml': 'py','conformer': 'py','diffusers': 'py',}
)
pyz = PYZ(a.pure)

exe = EXE(
    pyz,
    a.scripts,
    [],
    exclude_binaries=True,
    name='cosyvoice',
    icon='AnyConv.com__paints_logo.icns',
    debug=False,
    bootloader_ignore_signals=False,
    strip=False,
    upx=True,
    console=True,
    disable_windowed_traceback=False,
    argv_emulation=False,
    target_arch=None,
    codesign_identity=None,
    entitlements_file=None,
)

a.datas += Tree('./audios', prefix='audios')
a.datas += Tree('./voices', prefix='voices')
a.datas += Tree('./pretrained_models', prefix='pretrained_models')

coll = COLLECT(
    exe,
    a.binaries,
    a.datas,
    strip=False,
    upx=True,
    upx_exclude=[],
    name='cosyvoice',
)

# app = BUNDLE(coll,
#     name='cosyvoice.app',
#     icon='AnyConv.com__paints_logo.icns',
#     bundle_identifier=None,
#     info_plist={
#        'NSPrincipalClass': 'NSApplication',
#        'NSAppleScriptEnabled': False,
#        'CFBundleDocumentTypes': [
#            {
#                'CFBundleTypeName': 'My File Format',
#                'CFBundleTypeIconFile': 'AnyConv.com__paints_logo.icns',
#                'LSItemContentTypes': ['com.example.myformat'],
#                'LSHandlerRank': 'Owner'
#                }
#            ]
#        },
#     )