Replace multiprocessing.dummy.Pool() with concurrent.futures.ThreadPoolExecutor() so whisper_s2t instance can run separately with multiprocessing.Process()
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…hreadPoolExecutor(). I tried loading whisper model and running transcription in a separate multiprocessing.Process(), but failed. The process just froze unresponsive when loading audio to memory with multiprocessing.dummy.Pool(). Replaced with concurrent.futures.ThreadPoolExecutor() and it works now!
…odel.transcribe_with_vad()
…ept numpy pre-loaded ndarray
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I tried loading whisper model and running transcription in a separate multiprocessing.Process(), but failed. The process just froze unresponsive when loading audio to memory with multiprocessing.dummy.Pool(). Replaced with a safer concurrent.futures.ThreadPoolExecutor() and it works now!