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setup.py
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setup.py
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from setuptools import setup, find_packages
# Read the contents of README file
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name='llm-predictive-router',
version='0.2',
description='A package to route chat requests between LLMs based on prompt classification',
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/csabakecskemeti/llm_predictive_router_package",
author='Csaba Kecskemeti - devquasar.com',
packages=find_packages(),
install_requires=[
"torch>=1.9.0", # Mandatory PyTorch dependency
"transformers>=4.0.0", # Transformers for model and pipeline support
"openai", # OpenAI API client
"datasets", # Huggingface datasets library
],
python_requires='>=3.7',
)