mirror of
https://github.com/khoaliber/khoj.git
synced 2026-03-09 05:39:12 +00:00
0273be0232
- libtorch_cuda.so (1Gb) and libtorch_cpu.so (700Mb) are large shared libs that are available at package root and under torch/lib. - The top level imports are used, so they unused libs are removed from package - This reduces the single file package size from 1.6Gb to 920Mb
73 lines
1.7 KiB
Python
73 lines
1.7 KiB
Python
# -*- mode: python ; coding: utf-8 -*-
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from os.path import join
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from platform import system
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from PyInstaller.utils.hooks import copy_metadata
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datas = [('src/interface/web', 'src/interface/web')]
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datas += copy_metadata('tqdm')
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datas += copy_metadata('regex')
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datas += copy_metadata('requests')
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datas += copy_metadata('packaging')
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datas += copy_metadata('filelock')
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datas += copy_metadata('numpy')
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datas += copy_metadata('tokenizers')
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block_cipher = None
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a = Analysis(
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['src/main.py'],
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pathex=[],
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binaries=[],
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datas=datas,
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hiddenimports=['huggingface_hub.repository'],
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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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win_no_prefer_redirects=False,
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win_private_assemblies=False,
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cipher=block_cipher,
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noarchive=False,
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)
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# Filter out unused, duplicate shared libs under torch/lib
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torch_lib_path = set([
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join('torch', 'lib', 'libtorch_cuda.so'),
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join('torch', 'lib', 'libtorch_cpu.so')])
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a.datas = [entry for entry in a.datas if not entry[0] in torch_lib_path]
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pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
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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.zipfiles,
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a.datas,
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[],
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name='Khoj',
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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=False,
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disable_windowed_traceback=False,
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argv_emulation=False,
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target_arch='x86_64',
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codesign_identity=None,
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entitlements_file=None,
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icon='src/interface/web/assets/icons/favicon.icns',
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)
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if system() == 'Darwin':
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app = BUNDLE(
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exe,
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name='Khoj.app',
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icon='src/interface/web/assets/icons/favicon.icns',
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bundle_identifier=None,
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)
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