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from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
with open("requirements.txt") as f:
requirements = [line.strip() for line in f if line.strip() and not line.startswith("#")]
setup(
name="dental-opg-cavity-detection",
version="1.0.0",
author="Paul Sentongo",
author_email="paul.sentongo@example.com",
description="MLOps pipeline for dental cavity detection in OPG X-ray images using YOLOv8",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/Sentoz/Dental-OPG-XRAY-Analysis-MLOPS",
package_dir={"": "src"},
packages=find_packages(where="src"),
python_requires=">=3.10",
install_requires=requirements,
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Healthcare Industry",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Medical Science Apps.",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
],
entry_points={
"console_scripts": [
"dental-train=dental_opg.pipeline.stage_04_model_training:main",
"dental-predict=dental_opg.pipeline.prediction_pipeline:main",
],
},
)