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build.spec
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build.spec
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# -*- mode: python ; coding: utf-8 -*-
from PyInstaller.utils.hooks import collect_data_files, collect_submodules, copy_metadata
from importlib.resources import files
icon_path = str(files("aTrain.static").joinpath("favicon.ico"))
datas = []
datas += collect_data_files('aTrain')
datas += [(str(files("transformers").joinpath("")),'transformers')]
datas += [(str(files("speechbrain").joinpath("")),'speechbrain')]
datas += collect_data_files('torch')
datas += collect_data_files('transformers')
datas += collect_data_files('lightning')
datas += collect_data_files('lightning_fabric')
datas += collect_data_files('lightning_utilities')
datas += collect_data_files('pyannote')
datas += collect_data_files('pyannote.audio.models')
datas += collect_data_files('pyannote.audio.models.segmentation')
datas += collect_data_files('pyannote.audio.models.embedding')
datas += collect_data_files('pytorch_lightning')
datas += collect_data_files('faster_whisper')
datas += copy_metadata('transformers')
datas += copy_metadata('lightning')
datas += copy_metadata('lightning_utilities')
datas += copy_metadata('torch')
datas += copy_metadata('tqdm')
datas += copy_metadata('regex')
datas += copy_metadata('requests')
datas += copy_metadata('packaging')
datas += copy_metadata('filelock')
datas += copy_metadata('numpy')
datas += copy_metadata('tokenizers')
datas += copy_metadata('pyannote.audio')
datas += copy_metadata('huggingface-hub')
datas += copy_metadata('safetensors')
datas += copy_metadata('pyyaml')
datas += copy_metadata('pytorch_lightning')
hiddenimports = ['pytorch_lightning','pyyaml','safetensors','huggingface-hub','speechbrain','pyannote','pytorch','transformers','lightning',]
hiddenimports += collect_submodules('wakepy')
hiddenimports += collect_submodules('speechbrain')
hiddenimports += collect_submodules('pyannote')
hiddenimports += collect_submodules('sklearn')
a = Analysis(
['build.py'],
pathex=[],
binaries=[],
datas=datas,
hiddenimports=hiddenimports,
hookspath=[],
hooksconfig={},
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=None,
noarchive=False,
)
pyz = PYZ(a.pure, a.zipped_data, cipher=None)
exe = EXE(
pyz,
a.scripts,
[],
exclude_binaries=True,
name='aTrain',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
console=False,
disable_windowed_traceback=False,
argv_emulation=False,
target_arch=None,
codesign_identity=None,
entitlements_file=None,
icon=[icon_path],
)
coll = COLLECT(
exe,
a.binaries,
a.zipfiles,
a.datas,
strip=False,
upx=True,
upx_exclude=[],
name='aTrain',
)