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I love how lightweight uttertype is and it is very handy. Instead of calling Whisper API, I wonder if you plan on introducing local model like faster-whisper for faster processing speed?
Best,
Frank
The text was updated successfully, but these errors were encountered:
Thanks for the suggestion. I've added a sample implementation with a local MLX based Whisper model for macOS. It's ~15 lines of code and should be similar for any local library you wish to use.
You can copy this and replace it with any local whisper library or transcription service you wish, and then simply change the two lines - transcriber used in main.py and its corresponding import.
Hi Dhruvyad,
I love how lightweight uttertype is and it is very handy. Instead of calling Whisper API, I wonder if you plan on introducing local model like faster-whisper for faster processing speed?
Best,
Frank
The text was updated successfully, but these errors were encountered: