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from setuptools import setup, find_packages
with open("README.md", "r") as f:
long_description = f.read()
setup(
name="vakyansh-tts",
version="0.0.5",
description="Text to speech for Indic languages",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/Open-Speech-EkStep/vakyansh-tts.git",
keywords="nlp, tts, Indic languages, deep learning, text to speech",
# package_dir={'': 'src'},
# packages=find_packages(where='src'),
packages=["tts_infer"],
python_requires=">=3.7, <4",
install_requires=[
"Cython==0.29.24",
"layers==0.1.5",
"librosa==0.8.1",
"matplotlib==3.3.4",
"numpy==1.20.2",
"scipy==1.5.4",
"tensorboardX==2.4",
"tensorboard==2.7.0",
"tqdm==4.62.3",
"fastapi==0.70.0",
"uvicorn==0.15.0",
"gradio==2.5.2",
"wavio==0.0.4",
"pydload==1.0.9",
"mosestokenizer==1.2.1",
"indic-nlp-library==0.81"
],
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
"Development Status :: 3 - Alpha",
# Indicate who your project is intended for
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Text Processing :: Linguistic",
# Pick your license as you wish (should match "license" above)
"License :: OSI Approved :: MIT License",
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
"Programming Language :: Python :: 3.7",
],
include_package_data=True,
)
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