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| .gitignore | ||
| headphones.png | ||
| meetings.bat | ||
| meetings.py | ||
| meetings.sh | ||
| notrecording.png | ||
| README.md | ||
| recording.png | ||
| requirements.txt | ||
| sample.env | ||
| screenshot.png | ||
| summarize.py | ||
AudioSumma
Record your local audio and summarize it with whisper.cpp and llama.cpp! Open source, local on-prem transcription and summarization!
Installation
pip install -r requirements.txt
Configuration
Copy sample.env to .env and point your endpoint URLs for a working llama.cpp and whisper.cpp running in server/api mode.
llama.cpp and whisper.cpp
These need to be running in server mode somewhere on your local machine or on your network. Make sure the PROMPT_FORMAT in your .env file matches exactly to what the LLM model expects.
Running
Run either meetings.bat or meetings.sh to start app.
Usage
Hit record to record your global audio, hit stop to save the wav file. Hit transcribe to transcribe all wav files collected into a single summary markdown document (with date stamp). Hit the Clean button to remove old wav files and transcripts.