autogen/setup.py
Beibin Li b41b366549
Large Multimodal Models in AgentChat (#554)
* LMM Code added

* LLaVA notebook update

* Test cases and Notebook modified for OpenAI v1

* Move LMM into contrib
To resolve test issues and deploy issues
In the future, we can install pillow by default, and then move back
LMM agents into agentchat

* LMM test setup update

* try...except... clause for LMM tests

* disable patch for llava agent test
To resolve dependencies issue for build

* Add LMM Blog

* Change docstring for LMM agents

* Docstring update patch

* llava: insert reply at position 1 now
So, it can still handle human_input_mode
and max_consecutive_reply

* Resolve comments
Fixing: typos, blogs, yml, and add OpenAIWrapper

* Signature typo fix for LMM agent: system_message

* Update LMM "content" from latest OpenAI release
Reference  https://platform.openai.com/docs/guides/vision

* update LMM test according to latest OpenAI release

* Fully support GPT-4V now
1. Add a notebook for GPT-4V. LLava notebook also updated.
2. img_utils updated
3. GPT-4V formatter now return base64 image with mime type
4. Infer mime type directly from b64 image content (while loading
   without suffix)
5. Test cases modified according to all the related changes.

* GPT-4V link updated in blog

---------

Co-authored-by: Chi Wang <wang.chi@microsoft.com>
2023-11-06 21:33:51 +00:00

63 lines
1.7 KiB
Python

import os
import setuptools
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==1.0.0b3",
"diskcache",
"termcolor",
"flaml",
"python-dotenv",
"tiktoken",
]
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": [
"coverage>=5.3",
"ipykernel",
"nbconvert",
"nbformat",
"pre-commit",
"pytest-asyncio",
"pytest>=6.1.1",
],
"blendsearch": ["flaml[blendsearch]"],
"mathchat": ["sympy", "pydantic==1.10.9", "wolframalpha"],
"retrievechat": ["chromadb", "sentence_transformers", "pypdf", "ipython"],
"teachable": ["chromadb"],
"lmm": ["replicate", "pillow"],
},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
python_requires=">=3.8",
)