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pyproject.toml
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84 lines (76 loc) · 2.01 KB
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[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "fireredvad"
version = "0.0.2"
description = "FireRedVAD: A SOTA Industrial-Grade Voice Activity Detection & Audio Event Detection"
readme = "README.md"
license = "Apache-2.0"
requires-python = ">=3.10"
authors = [
{name = "Kaituo Xu"},
{name = "Wenpeng Li"},
{name = "Kai Huang"},
{name = "Kun Liu"},
]
maintainers = [
{name = "Xiaohongshu FireRedTeam"},
]
keywords = [
"voice-activity-detection",
"vad",
"audio-event-detection",
"aed",
"speech",
"deep-learning",
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Multimedia :: Sound/Audio :: Analysis",
"Topic :: Multimedia :: Sound/Audio :: Speech",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"numpy>=1.24.0",
"kaldiio>=2.18.0",
"kaldi-native-fbank>=1.15",
"soundfile>=0.12.0",
"textgrid",
]
[project.optional-dependencies]
gpu = [
"torch>=2.0.0",
]
cpu = [
"torch>=2.0.0",
]
dev = [
"build",
"twine",
"ruff",
]
[project.scripts]
fireredvad = "fireredvad.bin.fireredvad_cli:main"
[project.urls]
Homepage = "https://github.com/FireRedTeam/FireRedVAD"
Repository = "https://github.com/FireRedTeam/FireRedVAD"
"Model (HuggingFace)" = "https://huggingface.co/FireRedTeam/FireRedVAD"
"Model (ModelScope)" = "https://www.modelscope.cn/models/xukaituo/FireRedVAD"
[tool.setuptools.packages.find]
include = ["fireredvad*"]
exclude = ["examples*", "assets*", "tests*"]
[tool.setuptools.package-data]
fireredvad = ["py.typed"]
[tool.ruff]
target-version = "py310"
line-length = 120
[tool.ruff.lint]
select = ["E", "F", "W", "I"]