To use this tool, certain prerequisites are needed, including Python 3.11, Poetry, FFmpeg, whisper.cpp, llama.cpp, and a llama.cpp compatible model. After cloning the repository and installing the dependencies, users need to create a .env file in the project root and add their environment variables. To use the API, start the server and request a summary. The API will return a summarized version of the multimedia content.
Key takeaways:
- TL;DWOL is a Web API that uses AI tools to summarize multimedia content from various sources like YouTube, Apple Podcasts, and direct file URLs.
- The API works by receiving a URL, processing the audio file through whisper.cpp, transcribing it to text with llama.cpp, and finally outputting a summary.
- Prerequisites for using this API include Python 3.11, Poetry, FFmpeg, whisper.cpp, llama.cpp, and a compatible model for llama.cpp.
- The usage involves starting the server and requesting a summary by providing a URL. The response will be a summarized version of the content from the provided URL.