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setup.py
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executable file
·66 lines (62 loc) · 1.93 KB
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"""
FlowRAG: Continual Learning for Retrieval-Augmented Generation
"""
from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
with open("requirements.txt", "r", encoding="utf-8") as fh:
requirements = [
line.strip()
for line in fh.readlines()
if line.strip() and not line.startswith("#")
]
setup(
name="flowrag",
version="1.0.0",
author="FlowRAG Team",
author_email="",
description="A continual learning framework for Retrieval-Augmented Generation",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/your-org/FlowRAG",
project_urls={
"Bug Tracker": "https://github.com/your-org/FlowRAG/issues",
"Documentation": "https://github.com/your-org/FlowRAG#readme",
},
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
packages=find_packages(exclude=["tests", "scripts", "output", "cl_datasets"]),
python_requires=">=3.10",
install_requires=requirements,
extras_require={
"dev": [
"pytest>=7.0.0",
"black>=23.0.0",
"isort>=5.12.0",
],
"vllm": [
"vllm>=0.4.0",
],
},
entry_points={
"console_scripts": [
"flowrag=run_manager:main",
],
},
include_package_data=True,
keywords=[
"retrieval-augmented-generation",
"continual-learning",
"large-language-models",
"information-retrieval",
"nlp",
],
)