tiny-hinglish-turn-detector / pyproject.toml
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[build-system]
requires = ["hatchling>=1.27"]
build-backend = "hatchling.build"
[project]
name = "tiny-hinglish-turn-detector"
version = "0.1.0"
description = "Tiny audio-native HOLD/END turn detection for Indian Hinglish voice agents"
readme = "README.md"
requires-python = ">=3.10,<3.13"
license = { text = "Apache-2.0" }
authors = [{ name = "Suvradeep Das" }]
keywords = ["audio", "turn-detection", "hinglish", "voice-ai", "onnx"]
classifiers = [
"Development Status :: 3 - Alpha",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Multimedia :: Sound/Audio :: Speech",
]
dependencies = [
"numpy>=1.26,<3",
"soundfile>=0.12,<1",
]
[project.optional-dependencies]
data = [
"datasets[audio]>=3.2,<5",
"huggingface-hub>=0.27,<2",
"pyarrow>=17,<25",
"torchcodec>=0.7,<1",
"tqdm>=4.66,<5",
]
train = [
"datasets[audio]>=3.2,<5",
"huggingface-hub>=0.27,<2",
"pyarrow>=17,<25",
"PyYAML>=6,<7",
"scikit-learn>=1.5,<2",
"torch>=2.4,<3",
"torchaudio>=2.4,<3",
"torchcodec>=0.7,<1",
"tqdm>=4.66,<5",
"transformers>=4.47,<6",
]
export = [
"onnx>=1.17,<2",
"onnxruntime>=1.20,<2",
]
demo = [
"gradio>=5,<7",
"onnxruntime>=1.20,<2",
"spaces>=0.51,<1",
]
dev = [
"pytest>=8,<10",
"pytest-cov>=6,<8",
"ruff>=0.9,<1",
]
all = [
"datasets[audio]>=3.2,<5",
"gradio>=5,<7",
"huggingface-hub>=0.27,<2",
"onnx>=1.17,<2",
"onnxruntime>=1.20,<2",
"pyarrow>=17,<25",
"pytest>=8,<10",
"pytest-cov>=6,<8",
"PyYAML>=6,<7",
"ruff>=0.9,<1",
"scikit-learn>=1.5,<2",
"spaces>=0.51,<1",
"torch>=2.4,<3",
"torchaudio>=2.4,<3",
"torchcodec>=0.7,<1",
"tqdm>=4.66,<5",
"transformers>=4.47,<6",
]
[project.urls]
Model = "https://huggingface.co/suvradeepp/tiny-hinglish-turn-detector"
Demo = "https://huggingface.co/spaces/suvradeepp/tiny-hinglish-turn-detector"
[tool.hatch.build.targets.wheel]
packages = ["src/turn_detection"]
[tool.pytest.ini_options]
addopts = "-ra --strict-markers --strict-config"
testpaths = ["tests"]
pythonpath = ["src"]
markers = [
"integration: exercises optional heavyweight dependencies",
"slow: long-running model or data test",
]
[tool.ruff]
target-version = "py310"
line-length = 100
extend-exclude = [
".cache",
".venv",
"artifacts",
"checkpoints",
"data",
"release",
"upload-ready",
"upload-ready-*",
]
[tool.ruff.lint]
select = ["E", "F", "I", "B", "UP", "SIM"]
ignore = ["E501"]
[tool.ruff.lint.per-file-ignores]
"tests/**" = ["S101"]