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pyproject.toml
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pyproject.toml
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# pyproject.toml
[build-system]
requires = ["setuptools>=61.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools.packages.find]
include = ["AudioAugmentor"]
[project]
name = "AudioAugmentor"
version = "0.1.0"
description = "Python package for simple application of wide range of audio augmentations."
readme = "README.md"
authors = [{ name = "Ladislav Vašina", email = "ladislavvasina@gmail.com"}]
license = { file = "LICENSE" }
classifiers = [
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
]
keywords = [
"audio",
"augmentation",
"pytorch",
"machine learning",
"deep learning",
"data augmentation",
"audio processing",
"audio augmentation",
"audio data augmentation",
"audio data processing",
"torchaudio",
"ffmpeg",
"ffmpeg-python",
"audiomentations",
"torch-audiomentations",
"RIR",
"room impulse response",
"room simulation",
"pyroomacoustics",
]
dependencies = [
'audiomentations==0.34.1',
'audiomentations[extras]',
'datasets==2.17.1',
'ffmpeg_python==0.2.0',
'huggingface_hub==0.20.3',
'ipython==8.12.3',
'matplotlib==3.8.3',
'numpy==1.24.4',
'pyroomacoustics==0.7.3',
'PyYAML==6.0.1',
'SciPy==1.10.1',
'soundfile==0.12.1',
'torch==2.2.0',
'torch_audiomentations==0.11.1',
'torchaudio==2.2.0',
'transformers',
'pydub',
'accelerate',
'soundfile',
'librosa',
'evaluate',
'jiwer',
'tensorboard',
'gradio',
'ffmpeg-python',
'torch_pitch_shift',
'julius',
'tqdm',
'shapely',
'py-heat-magic'
]
requires-python = ">=3.10"
[project.urls]
Homepage = "https://github.com/LadislavVasina1/AudioAugmentor_public"
Repository = "https://github.com/LadislavVasina1/AudioAugmentor_public"
Issues = "https://github.com/LadislavVasina1/AudioAugmentor_public/issues"