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Building a YouTube Video Summarizer with LLM and yt-dlp
- crabhorse 2y ago[dead]
- authorfly 2y agoBeware 429s if you hit 100+ videos a day or so in my experience.
- xnx 2y agoI was pleasantly surprised that this didn't overcomplicate the process of piping captions from yt-dlp to llm. It doesn't look like it relies on captions being available from YouTube, but this could be pretty easily overcome by adding a whisper.cpp step.
- deleted 2y ago[deleted]
- stracaganasse 2y agoThis setup is quite similar to the one fabric [1] patterns, the limitation i encountered while testing those with local llms was the prompt efficacy. More specifically the output format of the prompt is rarely respected properly. In addition to this the tone/sentiment of the answers vary a lot between models, as usual. Are there more compliant models wrt respecting prompt instructions? (assuming comparable parameter sizing) [1] https://github.com/danielmiessler/fabric https://github.com/danielmiessler/fabric
- toomuchtodo 2y agoWould be cool to build this capability into https://www.tubearchivist.com/ https://www.tubearchivist.com/