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setup.py
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56 lines (53 loc) · 1.93 KB
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from setuptools import setup, find_packages
# Read requirements from requirements.txt
with open("requirements.txt", "r") as f:
requirements = [line.strip() for line in f if line.strip() and not line.startswith("#")]
# Read README for long description
with open("README.md", "r", encoding="utf-8") as f:
long_description = f.read()
setup(
name="rate-eval",
version="2.0.0",
author="Yala Lab @ UC Berkeley and UCSF",
author_email="yala@berkeley.edu",
description="A comprehensive evaluation pipeline for Vision-Language Models on medical imaging tasks",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/your-org/rate_eval",
packages=find_packages(),
install_requires=requirements,
python_requires=">=3.8",
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"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 :: Medical Science Apps.",
],
keywords="medical-imaging, vision-language-models, evaluation, deep-learning, radiology",
entry_points={
"console_scripts": [
"rate-extract=rate_eval.cli.extract:main",
"rate-evaluate=rate_eval.cli.evaluate:main",
],
},
include_package_data=True,
package_data={
"rate_eval": ["configs/*.yaml", "configs/**/*.yaml"],
},
extras_require={
"dev": [
"pytest>=6.0",
"pytest-cov>=2.0",
"black>=21.0",
"isort>=5.0",
"flake8>=3.8",
],
},
zip_safe=False,
)