autogen/setup.py
Aaron 4adbffa94b
retrieve_utils.py - Updated.py to have the ability to parse text from PDF Files (#50)
* UPDATE - Updated retrieve_utils.py to have the ability to parse text from pdf files

* UNDO - change to recursive condition

* UPDATE - updated agentchat_RetrieveChat.ipynb to clarify which file types are accepted to be in the docs path

* ADD - missing import

* UPDATE - setup.py to have PyPDF2 in retrievechat

* RE-ADD - urls

* ADD - tests for retrieve utils, and removed deprecated PyPdf2

* Update agentchat_RetrieveChat.ipynb

* Update retrieve_utils.py

Fix format

* Update retrieve_utils.py

Replace print with logger

* UPDATE - added more specific exception to PDF decryption try/catch

* FIX - typo, return statement at wrong indentation in extract_text_from_pdf

---------

Co-authored-by: Ward <award40@LAMU0CLP74YXVX6.uhc.com>
Co-authored-by: Li Jiang <bnujli@gmail.com>
2023-10-01 10:22:58 +00:00

63 lines
1.7 KiB
Python

import setuptools
import os
here = os.path.abspath(os.path.dirname(__file__))
with open("README.md", "r", encoding="UTF-8") as fh:
long_description = fh.read()
# Get the code version
version = {}
with open(os.path.join(here, "autogen/version.py")) as fp:
exec(fp.read(), version)
__version__ = version["__version__"]
install_requires = [
"openai",
"diskcache",
"termcolor",
"flaml",
]
setuptools.setup(
name="pyautogen",
version=__version__,
author="AutoGen",
author_email="auto-gen@outlook.com",
description="Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/microsoft/autogen",
packages=setuptools.find_packages(include=["autogen*"], exclude=["test"]),
# package_data={
# "autogen.default": ["*/*.json"],
# },
# include_package_data=True,
install_requires=install_requires,
extras_require={
"test": [
"pytest>=6.1.1",
"coverage>=5.3",
"pre-commit",
"datasets",
"nbconvert",
"nbformat",
"ipykernel",
"pydantic==1.10.9",
"sympy",
"wolframalpha",
],
"blendsearch": ["flaml[blendsearch]"],
"mathchat": ["sympy", "pydantic==1.10.9", "wolframalpha"],
"retrievechat": ["chromadb", "tiktoken", "sentence_transformers", "pypdf"],
},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
python_requires=">=3.8",
)