tts: 0.0.12 -> 0.0.13
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@ -12,61 +12,41 @@
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#
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# If you upgrade from an old version you may have to delete old models from ~/.local/share/tts
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# Also note that your tts version might not support all available models so check:
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# https://github.com/coqui-ai/TTS/releases/tag/v0.0.12
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# https://github.com/coqui-ai/TTS/releases/tag/v0.0.13
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#
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# For now, for deployment check the systemd unit in the pull request:
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# https://github.com/NixOS/nixpkgs/pull/103851#issue-521121136
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python3Packages.buildPythonApplication rec {
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pname = "tts";
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version = "0.0.12";
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version = "0.0.13";
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src = fetchFromGitHub {
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owner = "coqui-ai";
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repo = "TTS";
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rev = "v${version}";
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sha256 = "sha256-0M9wcdBmuTK+NvEGsXEdoYiVFjw8G2MRUwmi1PJgmzI=";
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sha256 = "1sh7sjkh7ihbkqc7sl4hnzci0n7gv4s140dykpb1havaqyfhjn8l";
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};
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patches = [
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# https://github.com/coqui-ai/TTS/pull/435
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(fetchpatch {
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url = "https://github.com/coqui-ai/TTS/commit/97f98e4c4584ef14ed2f4885aa02c162d9364a00.patch";
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sha256 = "sha256-DAZYOOAe+6TYBF5ukFq5HRwm49askEvNEivuwb/oCWM=";
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})
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];
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preBuild = ''
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# numba jit tries to write to its cache directory
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export HOME=$TMPDIR
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# we only support pytorch models right now
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sed -i -e '/tensorflow/d' requirements.txt
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sed -i -e 's!librosa==[^"]*!librosa!' requirements.txt setup.py
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sed -i -e 's!unidecode==[^"]*!unidecode!' requirements.txt setup.py
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sed -i -e 's!bokeh==[^"]*!bokeh!' requirements.txt setup.py
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sed -i -e 's!numba==[^"]*!numba!' requirements.txt setup.py
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sed -i -e 's!numpy==[^"]*!numpy!' requirements.txt setup.py
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sed -i -e 's!umap-learn==[^"]*!umap-learn!' requirements.txt setup.py
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# Not required for building/installation but for their development/ci workflow
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sed -i -e '/black/d' requirements.txt
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sed -i -e '/isor/d' requirements.txt
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sed -i -e '/pylint/d' requirements.txt
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sed -i -e '/cardboardlint/d' requirements.txt setup.py
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sed -i -e 's!librosa==[^"]*!librosa!' requirements.txt
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sed -i -e 's!unidecode==[^"]*!unidecode!' requirements.txt
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sed -i -e 's!numpy==[^"]*!numpy!' requirements.txt
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sed -i -e 's!umap-learn==[^"]*!umap-learn!' requirements.txt
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'';
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nativeBuildInputs = [ python3Packages.cython ];
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nativeBuildInputs = with python3Packages; [
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cython
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];
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propagatedBuildInputs = with python3Packages; [
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attrdict
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bokeh
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flask
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fuzzywuzzy
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gdown
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inflect
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jieba
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librosa
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matplotlib
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pandas
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phonemizer
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pypinyin
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pysbd
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@ -88,22 +68,30 @@ python3Packages.buildPythonApplication rec {
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)
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'';
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checkInputs = with python3Packages; [ pytestCheckHook ];
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checkInputs = with python3Packages; [
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pytestCheckHook
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];
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disabledTests = [
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# RuntimeError: fft: ATen not compiled with MKL support
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"test_torch_stft"
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"test_stft_loss"
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"test_multiscale_stft_loss"
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# AssertionErrors that I feel incapable of debugging
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"test_phoneme_to_sequence"
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"test_text2phone"
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# assert tensor(1.1904e-07, dtype=torch.float64) <= 0
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"test_parametrized_gan_dataset"
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# RuntimeError: expected scalar type Double but found Float
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"test_speaker_embedding"
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# Requires network acccess to download models
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"test_synthesize"
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];
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preCheck = ''
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# use the installed TTS in $PYTHONPATH instead of the one from source to also have cython modules.
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mv TTS{,.old}
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export PATH=$out/bin:$PATH
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# numba tries to write to HOME directory
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export HOME=$TMPDIR
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'';
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disabledTestPaths = [
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