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audiotext.spec
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audiotext.spec
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# -*- mode: python ; coding: utf-8 -*-
from os.path import join
from platform import system
from PyInstaller.utils.hooks import copy_metadata
from PyInstaller.utils.hooks import collect_data_files
from shutil import copyfile
datas = [
(r'venv/Lib/site-packages/customtkinter', 'customtkinter'),
(r'venv/Lib/site-packages/transformers', 'transformers'),
(r'venv/Lib/site-packages/lightning', 'lightning'),
(r'venv/Lib/site-packages/lightning_fabric', 'lightning_fabric'),
(r'venv/Lib/site-packages/speechbrain', 'speechbrain'),
(r'venv/Lib/site-packages/pyannote', 'pyannote'),
(r'venv/Lib/site-packages/asteroid_filterbanks', 'asteroid_filterbanks'),
(r'venv/Lib/site-packages/whisperx', 'whisperx'),
('res', 'res')
]
datas += copy_metadata('torch')
datas += copy_metadata('tqdm', recursive=True)
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('pillow')
datas += copy_metadata('huggingface_hub')
datas += copy_metadata('safetensors')
datas += copy_metadata('pyyaml')
datas += collect_data_files('librosa')
block_cipher = None
a = Analysis(
['src/app.py'],
pathex=[],
binaries=[],
datas=datas,
hiddenimports=['huggingface_hub.repository', 'pytorch', 'sklearn.utils._cython_blas', 'sklearn.neighbors.typedefs', 'sklearn.neighbors.quad_tree', 'sklearn.tree', 'sklearn.tree._utils'],
hookspath=[],
hooksconfig={},
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher,
noarchive=False,
)
# Filter out unused and/or duplicate shared libs
torch_lib_paths = {
join('torch', 'lib', 'libtorch_cuda.so'),
join('torch', 'lib', 'libtorch_cpu.so'),
}
a.datas = [entry for entry in a.datas if not entry[0] in torch_lib_paths]
os_path_separator = '\\' if system() == 'Windows' else '/'
a.datas = [entry for entry in a.datas if not f'torch{os_path_separator}_C.cp' in entry[0]]
a.datas = [entry for entry in a.datas if not f'torch{os_path_separator}_dl.cp' in entry[0]]
pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
if system() == 'Darwin': # macOS
exe = EXE(
pyz,
a.scripts,
a.binaries,
a.zipfiles,
a.datas,
[],
name='Audiotext',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
upx_exclude=[],
runtime_tmpdir=None,
console=False,
disable_windowed_traceback=False,
argv_emulation=False,
target_arch='x86_64',
codesign_identity=None,
entitlements_file=None,
icon=['res/img/icon.icns'],
)
# BUNDLE statement is used to create a macOS application bundle (.app) for the program
app = BUNDLE(
exe,
name='Audiotext.app',
icon=['res/img/icon.icns'],
bundle_identifier=None,
)
else:
exe = EXE(
pyz,
a.scripts,
[],
exclude_binaries=True,
name='Audiotext',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
console=False,
disable_windowed_traceback=False,
argv_emulation=False,
target_arch='x86_64',
codesign_identity=None,
entitlements_file=None,
icon=['res/img/icon.ico'],
)
coll = COLLECT(
exe,
a.binaries,
a.zipfiles,
a.datas,
strip=False,
upx=True,
upx_exclude=[],
name='audiotext',
)
copyfile('config.ini', '{0}/audiotext/config.ini'.format(DISTPATH))