98 lines
1.9 KiB
Nix
98 lines
1.9 KiB
Nix
{ lib
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, fetchFromGitHub
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, buildPythonPackage
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, substituteAll
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, cudaSupport ? false
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# runtime
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, ffmpeg
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# propagates
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, numpy
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, torch
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, torchWithCuda
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, tqdm
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, more-itertools
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, transformers
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, ffmpeg-python
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, numba
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, openai-triton
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, scipy
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, tiktoken
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# tests
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, pytestCheckHook
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}:
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buildPythonPackage rec {
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pname = "whisper";
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version = "20230314";
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format = "setuptools";
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src = fetchFromGitHub {
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owner = "openai";
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repo = pname;
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rev = "refs/tags/v${version}";
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hash = "sha256-qQCELjRFeRCT1k1CBc3netRtFvt+an/EbkrgnmiX/mc=";
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};
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patches = [
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(substituteAll {
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src = ./ffmpeg-path.patch;
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inherit ffmpeg;
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})
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];
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propagatedBuildInputs = [
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numpy
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tqdm
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more-itertools
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transformers
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ffmpeg-python
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numba
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scipy
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tiktoken
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] ++ lib.optionals (!cudaSupport) [
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torch
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] ++ lib.optionals (cudaSupport) [
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openai-triton
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torchWithCuda
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];
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postPatch = ''
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substituteInPlace requirements.txt \
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--replace "tiktoken==0.3.1" "tiktoken>=0.3.1"
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''
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# openai-triton is only needed for CUDA support.
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# triton needs CUDA to be build.
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# -> by making it optional, we can build whisper without unfree packages enabled
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+ lib.optionalString (!cudaSupport) ''
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sed -i '/if sys.platform.startswith("linux") and platform.machine() == "x86_64":/{N;d}' setup.py
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'';
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preCheck = ''
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export HOME=$TMPDIR
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'';
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nativeCheckInputs = [
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pytestCheckHook
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];
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disabledTests = [
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# requires network access to download models
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"test_tokenizer"
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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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meta = with lib; {
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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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homepage = "https://github.com/openai/whisper";
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license = licenses.mit;
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maintainers = with maintainers; [ hexa MayNiklas ];
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};
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}
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