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import pathlib
from setuptools import find_namespace_packages, setup
here = pathlib.Path(__file__).parent.resolve()
long_description = (here / "README.md").read_text(encoding="utf-8")
setup(
name="miniasr",
version="0.2.0",
description="A mini, simple, and fast end-to-end automatic speech recognition toolkit.",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/vectominist/MiniASR",
author="Heng-Jui Chang",
author_email="hengjui@mit.edu",
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
"Development Status :: 3 - Alpha",
"License :: OSI Approved :: MIT License",
"Intended Audience :: Science/Research",
"Topic :: Software Development :: Libraries :: Python Modules",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3 :: Only",
],
keywords="speech, speech recognition, ctc, asr",
packages=find_namespace_packages(include=["miniasr*"]),
python_requires=">=3.6, <4",
install_requires=[
"tqdm",
"numpy>=1.21",
"sentencepiece>=0.1.96",
"pytorch-lightning>=1.3.8",
"easydict",
"joblib>=0.12.4",
"librosa>=0.7.2",
"edit_distance",
"torch>=1.7.0",
"torchaudio>=0.7.0",
"pre-commit",
"flake8==3.9.2",
"black==22.3.0",
"isort==5.10.1",
],
entry_points={
"console_scripts": [
"minasr-asr = run_asr:main",
"miniasr-preprocess = run_preprocess:main",
],
},
project_urls={
"Bug Reports": "https://github.com/vectominist/MiniASR/issues",
"Source": "https://github.com/vectominist/MiniASR/",
},
)