humigencev2 / setup.py
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chore: initial public release of Humigence (CLI wizard + dual-GPU fine-tuning)
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#!/usr/bin/env python3
"""
Setup script for Humigence CLI
"""
from setuptools import setup, find_packages
from pathlib import Path
# Read the README file
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text()
# Read requirements
with open("requirements.txt", "r", encoding="utf-8") as f:
requirements = [line.strip() for line in f if line.strip() and not line.startswith("#")]
setup(
name="humigence",
version="1.0.0",
author="Humigence Team",
author_email="contact@humigence.ai",
description="Your AI. Your pipeline. Zero code. - Complete MLOps toolkit for LLM fine-tuning",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/your-username/humigence",
project_urls={
"Bug Reports": "https://github.com/your-username/humigence/issues",
"Source": "https://github.com/your-username/humigence",
"Documentation": "https://github.com/your-username/humigence/wiki",
},
packages=find_packages(),
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Software Development :: User Interfaces",
],
python_requires=">=3.8",
install_requires=requirements,
extras_require={
"dev": [
"pytest>=7.0.0",
"pytest-cov>=4.0.0",
"black>=22.0.0",
"flake8>=5.0.0",
"mypy>=1.0.0",
],
"docs": [
"sphinx>=5.0.0",
"sphinx-rtd-theme>=1.0.0",
"myst-parser>=0.18.0",
],
},
entry_points={
"console_scripts": [
"humigence=cli.main:main",
],
},
include_package_data=True,
package_data={
"": ["*.json", "*.yaml", "*.yml", "*.txt", "*.md"],
},
keywords=[
"machine-learning",
"fine-tuning",
"lora",
"qlora",
"llm",
"mlops",
"cli",
"wizard",
"gpu",
"unsloth",
"transformers",
"pytorch",
],
zip_safe=False,
)