import setuptools

from setuptools.command.develop import develop

import subprocess

with open("requirements.txt", "r") as f:

requirements = f.read().splitlines()

with open("requirements_local.txt", "r") as f:

requirements_local = f.read().splitlines()

with open("README.md", "r", encoding='utf8') as fh:

long_description = fh.read()

setuptools.setup(

name="agentverse",

version="0.1.8.1",

author="AgentVerse Team",

author_email="agentverse2@gmail.com",

description="A versatile framework that streamlines the process of creating custom multi-agent environments for large language models (LLMs).",

long_description=long_description,

long_description_content_type="text/markdown",

url="https://github.com/OpenBMB/AgentVerse",

packages=setuptools.find_packages(),

classifiers=[

"Programming Language :: Python :: 3",

'License :: OSI Approved :: Apache Software License',

"Operating System :: OS Independent",

],

python_requires=">=3.9",

# install_requires=[

# "PyYAML",

# "fastapi",

# "uvicorn",

# "py3langid",

# "iso-639",

# "openai",

# "opencv-python",

# "gradio",

# "httpx[socks]",

# "astunparse",

# "langchain",

# ],

install_requires=requirements,

extras_require={

'local': requirements_local

},

include_package_data = True,

entry_points={

"console_scripts": [

"agentverse-benchmark = agentverse_command.benchmark:cli_main",

"agentverse-simulation = agentverse_command.main_simulation_cli:cli_main",

"agentverse-simulation-gui = agentverse_command.main_simulation_gui:cli_main",

"agentverse-tasksolving = agentverse_command.main_tasksolving_cli:cli_main",

],

},

)