9cf3f879d0
Replace FFmpeg silence removal with dependency-free PCM processing, add in-app activity and status indicators, extract pipeline orchestration, prevent duplicate daily summaries, remove obsolete image assets, and add audio, pipeline, and Qt tests. |
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|---|---|---|
| .gitignore | ||
| audio_processing.py | ||
| meetings.bat | ||
| meetings.py | ||
| meetings.sh | ||
| pipeline.py | ||
| pyproject.toml | ||
| README.md | ||
| requirements.txt | ||
| SPEC.md | ||
| test_audio_processing.py | ||
| test_pipeline.py | ||
| test_ui.py | ||
| uv.lock | ||
AudioSumma
Record your local audio and summarize it with whisper.cpp and llama.cpp! Open source, local on-prem transcription and summarization!
Installation
macOS Requirements
For macOS users, you'll need to have Homebrew installed first. Then install PortAudio:
brew install portaudio
Silence removal is implemented directly against the recorded PCM WAV data using Python's standard library; FFmpeg is not required.
All Platforms
pip install -r requirements.txt
Configuration
Use the Settings button in the app to configure the endpoints for your local Whisper.cpp and OLLAMA/llama.cpp servers.
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.