Cannot reproduce pretrained-pipelines locally

[eulbdoor]

Hi everyone.

I was (and still am) having a similar problem to the one opened in #1567. Although it's apparently fixed the results I'm getting for a simple diarization still resemble random results, which is weird. So I tried the pretrained-pipelines online and it worked without an issue. Copy pasted the code to run locally and the results are back to random...
Anything I can be doing wrong on my end?

python=3.11.5
pyannote.audio=3.1.0
pyannote.core=5.0.0
pyannote.database=5.0.1
pyannote.metrics=3.2.1
pyannote.pipeline=3.0.1

Any help is appreciated, thanks in advance.

[github-actions]

Thank you for your issue.
We found the following entries in the FAQ which you may find helpful:

• Can I apply pretrained pipelines on audio already loaded in memory?
• Can I use gated models (and pipelines) offline?

Feel free to close this issue if you found an answer in the FAQ.

If your issue is a feature request, please read this first and update your request accordingly, if needed.

If your issue is a bug report, please provide a minimum reproducible example as a link to a self-contained Google Colab notebook containing everthing needed to reproduce the bug:

• installation
• data preparation
• model download
• etc.

Providing an MRE will increase your chance of getting an answer from the community (either maintainers or other power users).

Companies relying on pyannote.audio in production may contact me via email regarding:

• paid scientific consulting around speaker diarization and speech processing in general;
• custom models and tailored features (via the local tech transfer office).

This is an automated reply, generated by FAQtory

[stale]

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