pyproject.toml

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "denoise-stream"
version = "0.1.0"
description = "Real-time microphone noise suppression streamed over WebSocket, with a pluggable denoising backend."
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
authors = [{ name = "Ajaneeshwar" }]
keywords = ["audio", "denoising", "noise-suppression", "websocket", "dsp", "streaming", "deepfilternet"]
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: MIT License",
    "Topic :: Multimedia :: Sound/Audio :: Speech",
    "Intended Audience :: Developers",
]

# Core runtime: just numpy. Everything heavy is optional, below.
dependencies = ["numpy>=1.23"]

[project.optional-dependencies]
# Run the server (WebSocket + HTTP).
server = ["aiohttp>=3.9"]
# Run the mic client (capture/playback + WebSocket).
client = ["sounddevice>=0.4", "websocket-client>=1.6"]
# Optional learned backend (large; pulls in torch).
deepfilternet = ["deepfilternet>=0.5", "torch>=2.0"]
# Dev / test.
dev = ["pytest>=7", "aiohttp>=3.9", "websockets>=12"]

[project.scripts]
denoisestream-server = "denoisestream.server.__main__:main"
denoisestream-client = "denoisestream.client.__main__:main"

[project.urls]
Homepage = "https://github.com/Ajaneeshwar/DenoiseStream"
Repository = "https://github.com/Ajaneeshwar/DenoiseStream"

[tool.setuptools.packages.find]
where = ["src"]

[tool.pytest.ini_options]
pythonpath = ["src"]
testpaths = ["tests"]
addopts = "-q"

[tool.ruff]
line-length = 110
target-version = "py310"