pyproject.toml

[project]
name = "parakeet-tdt-ctc-110m-coreml"
version = "1.0.0"
description = "NVIDIA Parakeet-TDT-CTC-110M converted to CoreML format for Apple Silicon"
readme = "README.md"
requires-python = ">=3.10"
license = { text = "Apache-2.0" }
authors = [
    { name = "FluidInference" }
]
keywords = ["asr", "speech-recognition", "coreml", "apple-silicon", "nvidia", "parakeet"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: Apache Software License",
    "Operating System :: MacOS",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Multimedia :: Sound/Audio :: Speech",
]

dependencies = [
    "coremltools>=7.0",
    "numpy>=1.24.0",
    "scipy>=1.10.0",
]

[project.optional-dependencies]
convert = [
    "torch>=2.0.0",
    "nemo-toolkit[asr]>=1.20.0",
]
audio = [
    "librosa>=0.10.0",
]
dev = [
    "pytest>=7.0.0",
    "ruff>=0.1.0",
]

[project.urls]
Homepage = "https://huggingface.co/FluidInference/parakeet-tdt-ctc-110m-coreml"
Repository = "https://huggingface.co/FluidInference/parakeet-tdt-ctc-110m-coreml"
Issues = "https://github.com/FluidInference/fluidaudio/issues"

[project.scripts]
parakeet-inference = "scripts.inference:main"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["scripts"]

[tool.ruff]
line-length = 100
target-version = "py310"

[tool.ruff.lint]
select = ["E", "F", "I", "N", "W"]
ignore = ["E501"]