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setup.py
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setup.py
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#!/usr/bin/env python
# PlaywrightGym: Visual Web envs for RL Agent training
from setuptools import setup, find_packages
import pathlib
parent_dir = pathlib.Path(__file__).parent.resolve()
# Get the long description from the README file
long_description = (parent_dir / "README.md").read_text(encoding="utf-8")
setup(
name="playwrightgym", # Required
version="0.1.0", # Required
description="Deep Reinforcement Learning Environments for web-based tasks using Playwright", # Optional
long_description=long_description, # Optional
long_description_content_type="text/markdown", # Optional (see note above)
url="https://github.com/praveen-palanisamy/playwrightgym", # Optional
author="Praveen Palanisamy", # Optional
author_email="[email protected]",
classifiers=[ # Optional
"Development Status :: 2 - Pre-Alpha",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3 :: Only",
],
keywords="playwright gym, rl web tasks, rl web navigation, rl in browser, Gym environments", # Optional
package_dir={"": "src"}, # Optional
packages=find_packages(where="src"), # Required
include_package_data=True,
python_requires=">=3.7, <4",
install_requires=["gym"],
project_urls={ # Optional
"Source": "https://github.com/praveen-palanisamy/playwrightgym",
"Author website": "https://praveenp.com",
},
)