Very nice. I made a thing in Python which summarizes a YouTube transcript in bullet points. Never thought about asking it questions, that's a great idea!
I just run yt-dlp to fetch the transcript and shove it in the GPT prompt. (I think also have a few lines to remove the timestamps, although arguably those would be useful to keep.)
My prompt is "{transcript} Please summarize the above in bullet points"
The trick was splitting it up into overlapping chunks so it fits in the context size. (And then summarizing your summary because it ends up too long cause you had so many chunks!)
These days that's not so important, usually you can shove an entire book in! (Unless you're using a local model, which still have small context sizes, work pretty well for summarization.)
You can run it locally, and it's really fast. But since YouTube transcription is really good, I don't see why you'd use Whisper and get a worse transcription (unless maybe it's on videos that Google did not transcribe for whatever reason).
Are you sure you're looking at automatic transcripts? YouTube transcripts are bizarrely low quality if they're not provided by the creators (I've actually used my Google Pixel's live transcription to make better captions occasionally).
I just checked a video my girlfriend uploaded a week ago and the auto-transcript was still pretty messy. I've used Whisper for the same task and it's significantly better.
That's crazy, months ago I compared whisper v2 transcripts with YouTube transcripts generated on my video and found them to be identical, down to the timestamps.
I know people who upload a video on YouTube unlisted just to get transcripts generation for free and then delete the video.
I just run yt-dlp to fetch the transcript and shove it in the GPT prompt. (I think also have a few lines to remove the timestamps, although arguably those would be useful to keep.)
My prompt is "{transcript} Please summarize the above in bullet points"
The trick was splitting it up into overlapping chunks so it fits in the context size. (And then summarizing your summary because it ends up too long cause you had so many chunks!)
These days that's not so important, usually you can shove an entire book in! (Unless you're using a local model, which still have small context sizes, work pretty well for summarization.)