Closed mabergerx closed 5 months ago
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Hi @mabergerx, I have the same issue were you able to resolve it
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
I am trying to use
pyannote.audio
in an air-gapped environment with its own PyPi proxy, such that I can perform apip install pyannote.audio
.However, using this method I encounter all kinds of problems that I can't reproduce on a Google Colab using
pip install -qq https://github.com/pyannote/pyannote-audio/archive/refs/heads/develop.zip
. In this scenario, both running the voice activity pipeline using HuggingFace loader and using the local model work fine.So these are the scenarios that work:
Google Colab 1) Install through
pip install -qq https://github.com/pyannote/pyannote-audio/archive/refs/heads/develop.zip
. 2) Then, instantiate the pipeline and run it...and also this scenario:
Now here are the scenarios that don't work:
My air-gapped environment 1) Install through
pip install pyannote.audio
2) Upload the segmentation model files used in the example above to the environment and trying to load them:Google Colab 1) Install through
pip install pyannote.audio
2) Upload the segmentation model files used in the example above to the Colab and trying to load them:In summary, when installing the library from the develop branch on Google Colab, I can use both HF initialization and local files to produce the desired results. However, when using the PyPi version, I get errors on both my own environment and on Colab, even though the errors are different, while the data stays the same. Seeing as I can't easily install the develop branch on my environment from GitHub, I wonder why the behaviour I see occurs.
Thanks.