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setup.py
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setup.py
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from setuptools import setup, find_packages
import os
from pathlib import Path
import shutil
# Create the .crawl4ai folder in the user's home directory if it doesn't exist
# If the folder already exists, remove the cache folder
crawl4ai_folder = Path.home() / ".crawl4ai"
cache_folder = crawl4ai_folder / "cache"
if cache_folder.exists():
shutil.rmtree(cache_folder)
crawl4ai_folder.mkdir(exist_ok=True)
cache_folder.mkdir(exist_ok=True)
# Read the requirements from requirements.txt
with open("requirements.txt") as f:
requirements = f.read().splitlines()
# Define the requirements for different environments
default_requirements = [req for req in requirements if not req.startswith(("torch", "transformers", "onnxruntime", "nltk", "spacy", "tokenizers", "scikit-learn"))]
torch_requirements = [req for req in requirements if req.startswith(("torch", "nltk", "spacy", "scikit-learn", "numpy"))]
transformer_requirements = [req for req in requirements if req.startswith(("transformers", "tokenizers", "onnxruntime"))]
setup(
name="Crawl4AI",
version="0.2.77",
description="🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper",
long_description=open("README.md", encoding="utf-8").read(),
long_description_content_type="text/markdown",
url="https://github.com/unclecode/crawl4ai",
author="Unclecode",
author_email="[email protected]",
license="MIT",
packages=find_packages(),
install_requires=default_requirements,
extras_require={
"torch": torch_requirements,
"transformer": transformer_requirements,
"all": requirements,
},
entry_points={
'console_scripts': [
'crawl4ai-download-models=crawl4ai.model_loader:main',
],
},
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
],
python_requires=">=3.7",
)