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setup.py
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setup.py
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from setuptools import find_packages, setup
setup(
name="goldenverba",
version="2.1.0",
packages=find_packages(),
python_requires=">=3.10.0",
entry_points={
"console_scripts": [
"verba=goldenverba.server.cli:cli",
],
},
author="Weaviate",
author_email="[email protected]",
description="Welcome to Verba: The Golden RAGtriever, an open-source initiative designed to offer a streamlined, user-friendly interface for Retrieval-Augmented Generation (RAG) applications. In just a few easy steps, dive into your data and make meaningful interactions!",
long_description=open("README.md", encoding="utf-8").read(),
long_description_content_type="text/markdown",
url="https://github.com/weaviate/Verba",
classifiers=[
"License :: OSI Approved :: BSD License",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
],
include_package_data=True,
install_requires=[
"weaviate-client==4.7.1",
"python-dotenv==1.0.0",
"wasabi==1.1.2",
"fastapi==0.111.1",
"uvicorn[standard]==0.29.0",
"gunicorn==22.0.0",
"click==8.1.7",
"asyncio==3.4.3",
"tiktoken==0.6.0",
"requests==2.31.0",
"pypdf==4.3.1",
"python-docx==1.1.2",
"scikit-learn==1.5.1",
"langchain-text-splitters==0.2.2",
"spacy==3.7.5",
"aiohttp==3.9.5",
"markdownify==0.13.1",
"aiofiles==24.1.0",
"assemblyai==0.33.0",
"beautifulsoup4==4.12.3",
],
extras_require={
"dev": ["pytest", "wheel", "twine", "black>=23.7.0", "setuptools"],
"google": [
"vertexai==1.46.0",
],
"huggingface": [
"sentence-transformers==3.0.1",
],
},
)