pyproject.toml

[project]
name = "audio-data-quality-toolkit"
version = "0.2.0"
description = "Lint your audio datasets before training. 13 checks for TTS, ASR, and voice-cloning pipelines."
readme = "README.md"
license = "MIT"
requires-python = ">=3.9"
keywords = ["audio", "quality", "tts", "speech", "dataset", "lint", "qa"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "Topic :: Multimedia :: Sound/Audio :: Analysis",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Programming Language :: Python :: 3",
]
dependencies = [
    "numpy>=1.22",
    "scipy>=1.8",
    "soundfile>=0.12",
    "librosa>=0.9",
]

[project.optional-dependencies]
perceptual = ["nisqa>=0.2", "torch>=1.13"]
transcript = ["openai-whisper>=20230918"]
hf = ["datasets>=2.14,<4.0", "huggingface-hub>=0.16"]
demo = ["gradio>=4.0", "streamlit>=1.28"]
dev = [
    "pytest>=7.0",
    "audio-data-quality-toolkit[demo,hf]",
]
all = ["audio-data-quality-toolkit[perceptual,transcript,hf,demo]"]

[project.scripts]
audio-qa = "audio_qa.cli:main"

[project.urls]
Repository = "https://github.com/YOUR_USERNAME/audio-data-quality-toolkit"
Issues = "https://github.com/YOUR_USERNAME/audio-data-quality-toolkit/issues"

[tool.setuptools.packages.find]
include = ["audio_qa*"]