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setup.py
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setup.py
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#!/usr/bin/env python3
# Copyright (c) 2024 Alibaba Inc (authors: Chong Zhang)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""InspireMusic setup script."""
import os
from setuptools import find_packages
from setuptools import setup
requirements = {
"install": [
"setuptools",
"conformer==0.3.2",
"diffusers==0.27.2",
"gdown==5.1.0",
"gradio==5.5.0",
"grpcio==1.57.0",
"grpcio-tools==1.57.0",
"hydra-core==1.3.2",
"HyperPyYAML==1.2.2",
"inflect==7.3.1",
"librosa==0.10.2",
"lightning==2.2.4",
"matplotlib==3.7.5",
"modelscope==1.15.0",
"networkx==3.1",
"omegaconf==2.3.0",
"onnx==1.17.0",
"protobuf==4.25",
"pydantic==2.7.0",
"rich==13.7.1",
"soundfile==0.12.1",
"tensorboard==2.14.0",
"torch==2.0.1",
"torchaudio==2.0.2",
"uvicorn==0.30.0",
"wget==3.2",
"fastapi==0.111.0",
"fastapi-cli==0.0.4",
"WeTextProcessing==1.0.3",
"accelerate",
"huggingface-hub==0.25.2",
"julius",
"onnxruntime-gpu==1.16.0",
"onnxruntime==1.16.0",
"transformers",
],
# train: The modules invoked when training only.
"train": [
"deepspeed==0.14.2",
],
# all: The modules should be optionally installled due to some reason.
# Please consider moving them to "install" occasionally
"all": [
# NOTE(kamo): Append modules requiring specific pytorch version or torch>2.0
"transformers",
"openai-whisper==20231117",
],
"setup": [
"numpy",
],
"test": [
"pytest>=3.3.0",
],
}
requirements["all"].extend(requirements["train"])
requirements["test"].extend(requirements["train"])
install_requires = requirements["install"]
setup_requires = requirements["setup"]
tests_require = requirements["test"]
extras_require = {k: v for k, v in requirements.items() if k not in ["install", "setup"]}
dirname = os.path.dirname(__file__)
version_file = os.path.join(dirname, "inspiremusic", "version.txt")
with open(version_file, "r") as f:
version = f.read().strip()
setup(
name="inspiremusic",
version=version,
url="https://github.com/FunAudioLLM/InspireMusic.git",
author="Speech Lab of Institute for Intelligent Computing, Alibaba Group",
author_email="[email protected]",
description="InspireMusic: A Fundamental Music, Song and Audio Generation Toolkit",
long_description=open(os.path.join(dirname, "README.md"), encoding="utf-8").read(),
long_description_content_type="text/markdown",
license="The MIT License",
packages=find_packages(include=["inspiremusic*"]),
package_data={"inspiremusic": ["version.txt"]},
install_requires=install_requires,
setup_requires=setup_requires,
tests_require=tests_require,
extras_require=extras_require,
python_requires=">=3.8.0",
classifiers=[
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"Operating System :: POSIX :: Linux",
"License :: OSI Approved :: Apache Software License",
"Topic :: Software Development :: Libraries :: Python Modules",
],
entry_points={
"console_scripts": [
"inspiremusic = inspiremusic.bin.inference:main",
"inspiremusic-train = funasr.bin.train:main",
]
},
)