Gaetan Lepage
90 lines
1.7 KiB
Nix
90 lines
1.7 KiB
Nix
{
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lib,
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stdenv,
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fetchFromGitHub,
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buildPythonPackage,
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replaceVars,
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# build-system
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setuptools,
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# runtime
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ffmpeg-headless,
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# dependencies
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more-itertools,
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numba,
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numpy,
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triton,
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tiktoken,
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torch,
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tqdm,
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# tests
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pytestCheckHook,
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scipy,
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writableTmpDirAsHomeHook,
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}:
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buildPythonPackage rec {
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pname = "whisper";
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version = "20240930-unstable-2025-01-04";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "openai";
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repo = "whisper";
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rev = "517a43ecd132a2089d85f4ebc044728a71d49f6e";
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hash = "sha256-RYcQC70E27gtW4gzoPJU132Dm7CnSg8d2/GEfyUyXU4=";
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};
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patches = [
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(replaceVars ./ffmpeg-path.patch {
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ffmpeg = ffmpeg-headless;
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})
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];
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build-system = [ setuptools ];
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dependencies = [
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more-itertools
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numba
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numpy
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tiktoken
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torch
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tqdm
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] ++ lib.optionals (lib.meta.availableOn stdenv.hostPlatform triton) [ triton ];
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nativeCheckInputs = [
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pytestCheckHook
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scipy
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writableTmpDirAsHomeHook
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];
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disabledTests =
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[
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# requires network access to download models
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"test_transcribe"
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# requires NVIDIA drivers
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"test_dtw_cuda_equivalence"
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"test_median_filter_equivalence"
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]
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++ lib.optionals (stdenv.hostPlatform.isLinux && stdenv.hostPlatform.isAarch64) [
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# Fatal Python error: Segmentation fault
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"test_dtw"
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];
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meta = {
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changelog = "https://github.com/openai/whisper/blob/v${version}/CHANGELOG.md";
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description = "General-purpose speech recognition model";
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mainProgram = "whisper";
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homepage = "https://github.com/openai/whisper";
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license = lib.licenses.mit;
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maintainers = with lib.maintainers; [
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hexa
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MayNiklas
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];
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};
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}
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