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setup.py
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82 lines (79 loc) · 2.57 KB
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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 if line.strip() and not line.startswith("#")]
setup(
name="research2text",
version="1.0.0",
author="Research2Text Contributors",
author_email="your.email@example.com",
description="AI-powered research assistant for processing academic papers with RAG capabilities",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/yourusername/research2text",
project_urls={
"Bug Reports": "https://github.com/yourusername/research2text/issues",
"Source": "https://github.com/yourusername/research2text",
"Documentation": "https://github.com/yourusername/research2text/wiki",
},
packages=find_packages(where="src"),
package_dir={"": "src"},
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"Intended Audience :: Education",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Text Processing :: General",
"Topic :: Education",
],
python_requires=">=3.10",
install_requires=requirements,
extras_require={
"dev": [
"pytest>=7.0",
"pytest-cov>=4.0",
"black>=22.0",
"flake8>=5.0",
"pre-commit>=2.20",
"mypy>=1.0",
],
},
entry_points={
"console_scripts": [
"research2text=app_streamlit:main",
"r2t-ingest=ingest_pdf:main",
"r2t-index=index_documents:main",
"r2t-query=query_rag:main",
],
},
include_package_data=True,
package_data={
"research2text": [
"data/raw_pdfs/.gitkeep",
"data/raw_texts/.gitkeep",
"data/chroma_db/.gitkeep",
],
},
keywords=[
"research",
"ai",
"rag",
"pdf",
"academic",
"papers",
"embeddings",
"streamlit",
"chromadb",
"ollama",
"natural language processing",
"information retrieval",
],
zip_safe=False,
)