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use public g2p package instead of private uberduck
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matthewkennedy5 committed Apr 22, 2024
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# Optional. Same format as setuptools requirements. Torch version seems to effect random number generator (not 100% certain).
# TODO (Sam): our goal is to rely on as few 3rd party packages as possible. We should try to remove as many of these as possible and integrate torch code directly.
# NOTE (Sam): is it possible to specify no-deps here?
requirements = Cython pytest phonemizer inflect librosa>=0.8.0 matplotlib nltk>=3.6.5 numpy>=1.23.5 pandas pydub scipy scikit-learn tensorboardX torch>=1.13.0 torchaudio>=0.9.0 unidecode seaborn wordfreq einops g2p_en@git+https://github.com/uberduck-ai/g2p emoji text-unidecode pre-commit lmdb ray[default] praat-parselmouth>=0.4.3 torchcrepe==0.0.22 pyworld==0.3.2 faiss-cpu==1.7.4
requirements = Cython pytest phonemizer inflect librosa>=0.8.0 matplotlib nltk>=3.6.5 numpy>=1.23.5 pandas pydub scipy scikit-learn tensorboardX torch>=1.13.0 torchaudio>=0.9.0 unidecode seaborn wordfreq einops g2p_en emoji text-unidecode pre-commit lmdb ray[default] praat-parselmouth>=0.4.3 torchcrepe==0.0.22 pyworld==0.3.2 faiss-cpu==1.7.4

# Optional. Same format as setuptools console_scripts
# console_scripts =
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