from setuptools import find_packages, setup

with open("README.md", "r", encoding="utf-8") as fh:
    long_description = fh.read()

setup(
    name="tessar_tokenizer",
    version="0.1.0",
    description="Advanced Tokenizer for Table-based Transformations by SVECTOR",
    long_description=long_description,
    long_description_content_type="text/markdown",
    author="SVECTOR",
    author_email="team@svector.co.in",
    url="https://www.svector.co.in",
    packages=find_packages(),
    package_data={
        'tessar_tokenizer': ['*.json'],
    },
    install_requires=[
        "transformers>=4.27.0",
        "torch>=1.10.0",
        "numpy>=1.19.0"
    ],
    extras_require={
        'dev': [
            'pytest',
            'black',
            'mypy',
            'isort'
        ]
    },
    classifiers=[
        "Development Status :: 3 - Alpha",
        "Intended Audience :: Developers",
        "Intended Audience :: Science/Research",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
        "Programming Language :: Python :: 3.7",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: 3.10",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
        "Topic :: Software Development :: Libraries :: Python Modules",
    ],
    keywords="nlp tokenizer machine-learning table-transformations",
    python_requires=">=3.7",
    entry_points={
        'console_scripts': [
            'tessar-tokenizer=tessar_tokenizer.cli:main',
        ],
    },
)