pyproject.toml

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

[project]
name = "audiofakedetect"
version = "0.0.1"

authors = [
  { name="Konstantin Gasenzer" },
  { name="Moritz Wolter" },
]
maintainers = [
  { name="Konstantin Gasenzer" },
  { name="Moritz Wolter" },
]

description = "The package provides a training and evaluation environment for audio deepfake detection models using STFT and Wavelet-Packet transformed audio files."

readme = {file = "README.md", content-type = "text/markdown"}
license = {file = "LICENSE"}

requires-python = ">=3.10"

classifiers = [
    "Development Status :: 4 - Beta",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Operating System :: OS Independent",
    "Environment :: GPU :: NVIDIA CUDA :: 11.7",
    "Environment :: Console",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

keywords = [
    "deepfakes",
    "GANs",
    "wavelets",
    "fft",
    "fwt",
    "stft",
    "CNNs",
    "classification",
    "deep learning",
]

dependencies = [
    "ssqueezepy",
    "librosa",
    "numpy",
    "ptwt",
    "pywavelets",
    "matplotlib==3.7.4",
    "torch==2.0.0",
    "torchaudio==2.0.0",
    "torchvision==0.15.1",
    "tikzplotlib==0.10.1",
    "torch-summary",
    "tensorboard",
    "torchmetrics",
    "captum",
    "tqdm",
    "optuna",
    "pandas",
    "tox",
    "timm==0.4.5"
]

[project.urls]
Homepage = "https://github.com/gan-police/audiodeepfake-detection"
Issues = "https://github.com/gan-police/audiodeepfake-detection/issues"

[tool.hatch]
build.targets.sdist.include = ["/src", "/tests", "/tox.ini"]

[tool.hatch.build.targets.wheel]
packages = ["src/audiofakedetect"]