speech prob and settings refactor

[matthewkennedy5]

User description

Whisper outputs a no_speech_prob, which we can use to reduce false positives from VAD. If the no_speech_prob is above 0.8, we can cancel the response, because the audio is likely silence or background noise without speech from the user.

Also organized the settings.py a bit.

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Description

• Implemented a new feature to reduce false positives in voice activity detection by using a no_speech_prob threshold.
• If the no_speech_prob from Whisper's transcription is above 0.8, the response is cancelled to avoid processing likely silence or noise.
• Reorganized settings.py to categorize different types of settings for better readability and maintenance.

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Changes walkthrough

Relevant files

Enhancement

ml.py Implement no speech probability threshold check                                openduck-py/openduck_py/routers/ml.py Added a check for no_speech_prob using a new threshold NO_SPEECH_PROB_THRESHOLD from settings. If no_speech_prob is greater than the threshold, the transcription is set to an empty string. Imported NO_SPEECH_PROB_THRESHOLD from settings. +7/-3      settings.py Add no speech probability threshold and reorganize settings        openduck-py/openduck_py/settings.py Introduced NO_SPEECH_PROB_THRESHOLD with a value of 0.8. Reorganized environment and settings variables into categorized sections. +15/-8

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[zachwe]

optional comment: we could return the actual transcript and the no_speech_prob, then add logging so that we can better understand what's happening from the streamlit logs.