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"""
Donut
Copyright (c) 2022-present NAVER Corp.
MIT License
"""
import os
from setuptools import find_packages, setup
ROOT = os.path.abspath(os.path.dirname(__file__))
def read_version():
data = {}
path = os.path.join(ROOT, "donut", "_version.py")
with open(path, "r", encoding="utf-8") as f:
exec(f.read(), data)
return data["__version__"]
def read_long_description():
path = os.path.join(ROOT, "README.md")
with open(path, "r", encoding="utf-8") as f:
text = f.read()
return text
setup(
name="donut-python",
version=read_version(),
description="OCR-free Document Understanding Transformer",
long_description=read_long_description(),
long_description_content_type="text/markdown",
author="Geewook Kim, Teakgyu Hong, Moonbin Yim, JeongYeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park",
author_email="[email protected]",
url="https://github.com/clovaai/donut",
license="MIT",
packages=find_packages(
exclude=[
"config",
"dataset",
"misc",
"result",
"synthdog",
"app.py",
"lightning_module.py",
"README.md",
"train.py",
"test.py",
]
),
python_requires=">=3.7",
install_requires=[
"transformers>=4.11.3",
"timm",
"datasets[vision]",
"pytorch-lightning>=1.6.4",
"nltk",
"sentencepiece",
"zss",
"sconf>=0.2.3",
],
classifiers=[
"Intended Audience :: Developers",
"Intended Audience :: Information Technology",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"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",
"Topic :: Software Development :: Libraries :: Python Modules",
],
)
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