1.2 KiB
1.2 KiB
audio-summarize
An audio summarizer that glues together ffmpeg, whisper.cpp and BART.
Dependencies
- Python 3 (tested: 3.12)
- ffmpeg
- git
- make & c/c++ compiler
Setup
Create a virtual environment for python and activate it:
python3 -m venv .venv
source .venv/bin/activate
Run setup.sh
./setup.sh
Run
- You need a whisper.cpp compatible model file (-> https://huggingface.co/ggerganov/whisper.cpp)
- In your terminal, make shure you have your python venv activated
- Run audio-summarize.py
Usage
audio-summarize.py -m filepath -i filepath -o filepath
[--summin n] [--summax n] [--segmax n]
options:
-h, --help show this help message and exit
--summin n The minimum lenght of a segment summary [10, min: 5]
--summax n The maximum lenght of a segment summary [90, min: 5]
--segmax n The maximum number of tokens per segment [375, 5 - 500]
-m filepath The path to a whisper.cpp-compatible model file
-i filepath The path to the media file
-o filepath Where to save the output text to
Example:
./audio-summarize.py -m ./tmp/whisper_ggml-small.en-q5_1.bin -i ./tmp/test.webm -o ./tmp/output.txt