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feat(examples): add audio analysis example to show background jobs #19

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2 changes: 2 additions & 0 deletions advanced/whisperx/README.md
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This example demonstrates how to run the WhisperX model on Lepton. [WhisperX](https://github.com/m-bain/whisperX) is similar to the whisper example, but does transcription, alignment, and diarization for the input.

The following example shows the WhisperX demo that allows one to very quickly recognize short audios. For long audios like podcasts, instead of having a long-waiting api, it is easier to build a service that does the actual recognition as a background task - see the notebook [What does a great podcast sound like?](audio_analysis.ipynb) as an end to end example.

## Note on custom environment

Similar to the Whisper JAX example, if you are running locally, we recommend you to use a custom environment like `conda` or `virtualenv`.
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