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- update cursorignore
- add hallucination filter training & inference code
- put logging into a central module
- segment metadata logging occurs before filtering
- segment metadata logging is on by default
- check in embedded python setup script
- include trained hallucination filter model
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Segment metadata can now be logged to a json as the app runs. The goal
is to identify the params that heavily correlate with hallucinations.
Also:
* use 7zip for compression in build, speeding things up
* log dll download progress every few seconds
* shrink package
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- Filters actually get applied now, huge accuracy boost
- Use silero-vad python library instead of rolling our own
- Expose prompt parameter
- Auto setup venv on launch
- Clean up python output
- Auto acquire all dependencies on launch
- Add icon
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HEAVILY VIBE CODED!
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