setup.py

"""
Setup script for GAP-CLIP (Guaranteed Attribute Positioning in CLIP)

This setup file allows installation of the GAP-CLIP package and its dependencies.

Installation:
    pip install -e .              # Editable/development install
    pip install .                 # Standard install
    pip install -e ".[dev]"       # Install with development dependencies
"""

from setuptools import setup, find_packages
import os

# Read the README file for long description
def read_readme():
    """Read README.md for the long description."""
    readme_path = os.path.join(os.path.dirname(__file__), 'README.md')
    if os.path.exists(readme_path):
        with open(readme_path, 'r', encoding='utf-8') as f:
            return f.read()
    return ""

# Core dependencies
INSTALL_REQUIRES = [
    'torch>=2.0.0',
    'torchvision>=0.15.0',
    'transformers>=4.30.0',
    'huggingface-hub>=0.16.0',
    'pillow>=9.0.0',
    'pandas>=1.5.0',
    'numpy>=1.24.0',
    'scikit-learn>=1.3.0',
    'tqdm>=4.65.0',
    'matplotlib>=3.7.0',
    'seaborn>=0.12.0',
    'requests>=2.28.0',
    'aiohttp>=3.8.0',
]

# Optional dependencies for development
DEV_REQUIRES = [
    'pytest>=7.0.0',
    'black>=23.0.0',
    'flake8>=6.0.0',
    'mypy>=1.0.0',
    'jupyter>=1.0.0',
    'ipython>=8.0.0',
]

EXTRAS_REQUIRE = {
    'dev': DEV_REQUIRES,
}

setup(
    name='gap-clip',
    version='1.0.0',
    author='Lea Attia Sarfati',
    author_email='lea.attia@gmail.com',
    description='GAP-CLIP: Guaranteed Attribute Positioning in CLIP Embeddings for Fashion Search',
    long_description=read_readme(),
    long_description_content_type='text/markdown',
    url='https://github.com/Leacb4/gap-clip',  # Update with your repository URL
    project_urls={
        'Documentation': 'https://github.com/Leacb4/gap-clip#readme',
        'Source': 'https://github.com/Leacb4/gap-clip',
        'Bug Reports': 'https://github.com/Leacb4/gap-clip/issues',
        'Hugging Face': 'https://huggingface.co/Leacb4/gap-clip',
    },
    packages=find_packages(exclude=['tests', 'tests.*']),
    classifiers=[
        'Development Status :: 4 - Beta',
        'Intended Audience :: Developers',
        'Intended Audience :: Science/Research',
        'License :: OSI Approved :: MIT License',  # Update if different
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.8',
        'Programming Language :: Python :: 3.9',
        'Programming Language :: Python :: 3.10',
        'Programming Language :: Python :: 3.11',
        'Topic :: Scientific/Engineering :: Artificial Intelligence',
        'Topic :: Scientific/Engineering :: Image Recognition',
        'Topic :: Software Development :: Libraries :: Python Modules',
    ],
    python_requires='>=3.8',
    install_requires=INSTALL_REQUIRES,
    extras_require=EXTRAS_REQUIRE,
    entry_points={
        'console_scripts': [
            'gap-clip-train=training.main_model:main',
            'gap-clip-example=example_usage:main',
        ],
    },
    include_package_data=True,
    package_data={
        '': [
            '*.md',
        ],
    },
    keywords=[
        'machine-learning',
        'deep-learning',
        'computer-vision',
        'fashion',
        'clip',
        'multimodal',
        'image-search',
        'text-search',
        'embeddings',
        'contrastive-learning',
        'pytorch',
        'transformers',
    ],
    zip_safe=False,
)