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67 lines (64 loc) · 2.22 KB
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from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as f:
long_description = f.read()
with open("requirements.txt", "r", encoding="utf-8") as f:
install_requires = [
line.strip()
for line in f
if line.strip() and not line.startswith("#")
]
setup(
name="raredis-graph-multiagent",
version="1.0.0",
author="Quan Minh Nguyen, Kai Wang",
author_email="nguyenqm@chop.edu",
description=(
"A locally deployable multi-agent system for rare disease "
"prioritization using a curated knowledge graph and open-weight "
"language models"
),
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/WGLab/RareDisGraph-MultiAgentLLM",
project_urls={
"Bug Tracker": "https://github.com/WGLab/RareDisGraph-MultiAgentLLM/issues",
"Knowledge Graph": "https://github.com/WGLab/RareDisGraph-Extraction",
"Lab": "https://github.com/WGLab",
},
packages=find_packages(where="src"),
package_dir={"": "src"},
python_requires=">=3.9",
install_requires=install_requires,
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"Intended Audience :: Healthcare Industry",
"Topic :: Scientific/Engineering :: Bio-Informatics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Operating System :: POSIX :: Linux",
],
keywords=[
"rare disease",
"phenotype prioritization",
"knowledge graph",
"language model",
"clinical NLP",
"HPO",
"MONDO",
"diagnostic support",
],
entry_points={
"console_scripts": [
"raredis-run=raregraph.cli:run_pipeline",
"raredis-batch=raregraph.cli:run_batch",
"raredis-evaluate=raregraph.cli:evaluate",
],
},
include_package_data=True,
zip_safe=False,
)