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58 lines (56 loc) · 1.83 KB
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from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="kittenml",
version="0.9.7",
author="KittenML",
author_email="",
description="Text-to-speech with voice cloning and expression control, plus ultra-lightweight models that run on CPU",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/KittenML/KittenTTS",
packages=find_packages(),
include_package_data=True,
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Multimedia :: Sound/Audio :: Speech",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
python_requires=">=3.10",
install_requires=[
"torch>=2.6",
"torchaudio>=2.6",
"transformers>=4.55",
"safetensors",
"numpy",
"scipy",
"soundfile",
"librosa",
"huggingface_hub",
"brotli",
"einops",
"diffusers",
"omegaconf",
"hydra-core",
"s3tokenizer",
"resemble-perth",
"pyloudnorm",
"kitten-text-processing>=0.1.0",
"espeakng_loader",
"phonemizer",
"onnxruntime",
],
keywords="text-to-speech, tts, speech-synthesis, voice-cloning, neural-networks, onnx",
project_urls={
"Bug Reports": "https://github.com/KittenML/KittenTTS/issues",
"Source": "https://github.com/KittenML/KittenTTS",
},
)