https://github.com/patw/audiosumma

Record your global audio and transcribe with whisper.cpp and llama.cpp
https://github.com/patw/audiosumma

ai llamacpp qt5 whisper-cpp

Last synced: 9 months ago
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Record your global audio and transcribe with whisper.cpp and llama.cpp

• Host: GitHub
• URL: https://github.com/patw/audiosumma
• Owner: patw
• Created: 2024-06-21T16:52:09.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-05-09T14:49:15.000Z (11 months ago)
• Last Synced: 2025-05-09T14:50:23.430Z (11 months ago)
• Topics: ai, llamacpp, qt5, whisper-cpp
• Language: Python
• Homepage:
• Size: 47.9 KB
• Stars: 6
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# AudioSumma

Record your local audio and summarize it with whisper.cpp and llama.cpp!  Open source, local on-prem transcription and summarization!

![Main UI](screenshot.png)

## Installation

### macOS Requirements

For macOS users, you'll need to have [Homebrew](https://brew.sh/) installed first. Then install the required dependencies:

```bash

brew install ffmpeg portaudio

```

### 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.