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pyproject.toml
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[build-system]
requires = ["setuptools>=45", "setuptools_scm[toml]>=6.2", "wheel", "pybind11>=2.5.0"]
build-backend = "setuptools.build_meta"
[tool.pytest.ini_options]
addopts = "--cov=openspeechtointent --cov-report term-missing --flake8"
flake8-max-line-length = "140"
testpaths = [
"test",
"openspeechtointent"
]
[project]
name = "openspeechtointent"
description = "A simple, but performant framework for mapping speech directly to categories and intents."
readme = "README.md"
authors = [{name = "David Scripka", email = "[email protected]"}]
license = {file = "LICENSE"}
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
]
requires-python = ">=3.8"
dependencies = [
"numpy",
"onnxruntime",
"sentencepiece>=0.2.0"
]
dynamic = ["version"]
[project.optional-dependencies]
test = [
'pytest',
'pytest-cov',
'pytest-flake8',
'flake8',
'pytest-mypy'
]
[project.urls]
Homepage = "https://github.com/dscripka/openspeechtointent"
[tool.setuptools_scm]
version_scheme = "post-release"
local_scheme = "dirty-tag"
[tool.setuptools]
packages = ["openspeechtointent"]
include-package-data = true
[tool.setuptools.package-data]
openspeechtointent = [
"resources/models/citrinet_spectrogram_filterbank.py",
"resources/models/citrinet_tokenizer.pkl",
"resources/models/citrinet_vocab.json"
]