from setuptools import setup, find_packages

# Read the long description from README.md
with open("README.md", "r", encoding="utf-8") as fh:
    long_description = fh.read()

# Read the list of requirements from requirements.txt
with open("requirements.txt", "r", encoding="utf-8") as fh:
    requirements = fh.read().splitlines()

setup(
    name="transmeet",
    version="0.0.2",
    author="Deepak Raj",
    author_email="deepak008@live.com",
    description=(
        "Transmeet is a Python package that transcribes audio files and generates meeting minutes "
        "using advanced AI models. It supports various audio formats and provides "
        "customizable transcription options."
    ),
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/codeperfectplus/transmeet",
    packages=find_packages(),
    # Instead of using data_files, it's often preferable to use package_data
    # or include_package_data to ensure files get included with the package itself.
    # For any non-Python assets, place them in a package directory (e.g. transmeet/libs).
    # Example usage: package_data={"transmeet": ["libs/*"]},
    # or rely on MANIFEST.in to fine-tune inclusion.
    include_package_data=True,
    package_data={
        "transmeet": ["config.ini", "libs/*"],
    },
    install_requires=requirements,
    python_requires=">=3.6",
    classifiers=[
        "Development Status :: 3 - Alpha",
        "Programming Language :: Python :: 3",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
        "Intended Audience :: Developers",
        "Programming Language :: Python"
    ],
    project_urls={
        "Documentation": "https://transmeet.readthedocs.io/en/latest/",
        "Source": "https://github.com/codeperfectplus/transmeet",
        "Tracker": "https://github.com/codeperfectplus/transmeet/issues"
    },
    entry_points={
        "console_scripts": [
            "transmeet=transmeet.cli:main",  # Update path if needed
        ],
    },
    keywords=[
        "transcription",
        "meeting minutes",
        "audio processing",
        "speech recognition",
        "AI",
        "machine learning",
        "natural language processing"
        
    ],
    license="MIT",
)