Upload setup.py with huggingface_hub
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setup.py
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"""
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Setup script for GAP-CLIP (Guaranteed Attribute Positioning in CLIP)
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This setup file allows installation of the GAP-CLIP package and its dependencies.
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Installation:
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pip install -e . # Editable/development install
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pip install . # Standard install
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pip install -e ".[dev]" # Install with development dependencies
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pip install -e ".[optuna]" # Install with hyperparameter optimization tools
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"""
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from setuptools import setup, find_packages
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import os
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# Read the README file for long description
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def read_readme():
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"""Read README.md for the long description."""
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readme_path = os.path.join(os.path.dirname(__file__), 'README.md')
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if os.path.exists(readme_path):
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with open(readme_path, 'r', encoding='utf-8') as f:
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return f.read()
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return ""
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# Core dependencies
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INSTALL_REQUIRES = [
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'torch>=2.0.0',
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'torchvision>=0.15.0',
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'transformers>=4.30.0',
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'huggingface-hub>=0.16.0',
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'pillow>=9.0.0',
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'pandas>=1.5.0',
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'numpy>=1.24.0',
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'scikit-learn>=1.3.0',
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'tqdm>=4.65.0',
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'matplotlib>=3.7.0',
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'seaborn>=0.12.0',
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'requests>=2.28.0',
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'aiohttp>=3.8.0',
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]
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# Optional dependencies for hyperparameter optimization
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OPTUNA_REQUIRES = [
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'optuna>=3.0.0',
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]
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# Optional dependencies for development
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DEV_REQUIRES = [
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'pytest>=7.0.0',
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'black>=23.0.0',
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'flake8>=6.0.0',
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'mypy>=1.0.0',
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'jupyter>=1.0.0',
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'ipython>=8.0.0',
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]
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# All optional dependencies
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EXTRAS_REQUIRE = {
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'optuna': OPTUNA_REQUIRES,
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'dev': DEV_REQUIRES,
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'all': OPTUNA_REQUIRES + DEV_REQUIRES,
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}
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setup(
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name='gap-clip',
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version='1.0.0',
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author='Lea Attia Sarfati',
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author_email='lea.attia@gmail.com',
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description='GAP-CLIP: Guaranteed Attribute Positioning in CLIP Embeddings for Fashion Search',
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long_description=read_readme(),
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long_description_content_type='text/markdown',
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url='https://github.com/Leacb4/gap-clip', # Update with your repository URL
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project_urls={
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'Documentation': 'https://github.com/Leacb4/gap-clip#readme',
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'Source': 'https://github.com/Leacb4/gap-clip',
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'Bug Reports': 'https://github.com/Leacb4/gap-clip/issues',
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'Hugging Face': 'https://huggingface.co/Leacb4/gap-clip',
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},
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packages=find_packages(exclude=['tests', 'tests.*', 'evaluation', 'optuna', 'data']),
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classifiers=[
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'Development Status :: 4 - Beta',
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'Intended Audience :: Developers',
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'Intended Audience :: Science/Research',
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'License :: OSI Approved :: MIT License', # Update if different
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.8',
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'Programming Language :: Python :: 3.9',
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'Programming Language :: Python :: 3.10',
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'Programming Language :: Python :: 3.11',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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'Topic :: Scientific/Engineering :: Image Recognition',
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'Topic :: Software Development :: Libraries :: Python Modules',
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],
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python_requires='>=3.8',
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install_requires=INSTALL_REQUIRES,
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extras_require=EXTRAS_REQUIRE,
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entry_points={
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'console_scripts': [
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'gap-clip-train=train_main_model:main', # Command to train the model
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'gap-clip-example=example_usage:main', # Command to run examples
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],
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},
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include_package_data=True,
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package_data={
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'': [
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'*.json', # Include tokenizer vocab files
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'*.md', # Include markdown files
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],
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},
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keywords=[
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'machine-learning',
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'deep-learning',
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'computer-vision',
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'fashion',
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'clip',
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'multimodal',
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'image-search',
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'text-search',
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'embeddings',
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'contrastive-learning',
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'pytorch',
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'transformers',
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],
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zip_safe=False,
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)
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