This project demonstrates how GPTcache can be used to save costs when using OpenAI’s audio transcription API. It provides a simple Streamlit app that allows users to input an audio file and see the corresponding transcribed text. The app uses a cache to store previously generated transcriptions and reuses them for the same audio file, thus avoiding making duplicate API calls.
- Python 3.6 or later
- Dependencies listed in requirements.txt
- OpenAI API key
- Clone the repository to your local machine Install the required packages: pip install -r requirements.txt
- Run the app: streamlit run audio.py
- Open the app in your browser at http://localhost:8501
- Enter your OpenAI API key and upload an audio file to transcribe, then click “generate” to wait for the transcribed text to appear. If a cache hit occurred, you should see a message like “cache” at the bottom of the transcribed text.
