depot/third_party/nixpkgs/pkgs/development/python-modules/openai-whisper/default.nix

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{
lib,
stdenv,
fetchFromGitHub,
buildPythonPackage,
substituteAll,
# build-system
setuptools,
# runtime
ffmpeg-headless,
# propagates
more-itertools,
numba,
numpy,
triton,
tiktoken,
torch,
tqdm,
# tests
pytestCheckHook,
scipy,
}:
buildPythonPackage rec {
pname = "whisper";
version = "20240930";
pyproject = true;
src = fetchFromGitHub {
owner = "openai";
repo = pname;
rev = "refs/tags/v${version}";
hash = "sha256-6wfHJM2pg+y1qUfVF1VRG86G3CtQ+UNIwMXR8pPi2k4=";
};
patches = [
(substituteAll {
src = ./ffmpeg-path.patch;
ffmpeg = ffmpeg-headless;
})
];
nativeBuildInputs = [ setuptools ];
propagatedBuildInputs = [
more-itertools
numba
numpy
tiktoken
torch
tqdm
] ++ lib.optionals (lib.meta.availableOn stdenv.hostPlatform triton) [ triton ];
preCheck = ''
export HOME=$TMPDIR
'';
nativeCheckInputs = [
pytestCheckHook
scipy
];
disabledTests = [
# requires network access to download models
"test_transcribe"
# requires NVIDIA drivers
"test_dtw_cuda_equivalence"
"test_median_filter_equivalence"
];
meta = with lib; {
changelog = "https://github.com/openai/whisper/blob/v${version}/CHANGELOG.md";
description = "General-purpose speech recognition model";
mainProgram = "whisper";
homepage = "https://github.com/openai/whisper";
license = licenses.mit;
maintainers = with maintainers; [
hexa
MayNiklas
];
};
}