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Hoping this can help me cut down the time I need to use on watching YT videos for uni. Outputting 20-30 mins into a .txt and feeding it to ChatGPT for summarizi

by Demcox 3y ago

Hoping this can help me cut down the time I need to use on watching YT videos for uni. Outputting 20-30 mins into a .txt and feeding it to ChatGPT for summarizing. Thanks!

jdthedisciple 3y ago
Not sure why people are downvoting. I can confirm for some types of lectures this is a wholly legitimate approach.
- ldenoue 3y ago
  If you want to try scribe I developed last week, it adds punctuations from the raw YouTube transcripts so you can read them more easily. It also adds chapters every 3 paragraphs to more easily skim the content. All runs in your browser using 2 models https://www.appblit.com/scribe https://www.appblit.com/scribe
chiefalchemist 3y ago
Not for uni but I was thinking similar. Find or create a playlist, have this tool transcribe it, feed all that into ChatGPT or similar, have to output a summary, either brief (i.e., highlights) or full depth & breadth of all the videos.
evanreichard 3y ago
Coincidentally I threw something together this weekend that attempts to do just that. [0] It's really simple - just extracts subtitles and feeds it to ChatGPT to generate a markdown "article". [0] https://vreader.va.reichard.io/ https://vreader.va.reichard.io/ [1] https://gitea.va.reichard.io/evan/VReader https://gitea.va.reichard.io/evan/VReader
- jdthedisciple 3y ago
  This is interesting. I assume the samples on the website you linked are all precomputed outputs, right?
  - evanreichard 3y ago
    Well it's live, so you can throw a YouTube URL into it right now and get an auto generated article from GPT-3.5 in about 15 seconds. The items on the site right now are myself / others using it. Depends on the video length, but each generated article costs about $0.005 in API usage. Edit: Ah just understood your question (coffee just kicked in). Yes, they're precomputed from when others used it. I save the generated articles in markdown format and sort by most recently generated.

by Demcox 3y ago

Hoping this can help me cut down the time I need to use on watching YT videos for uni. Outputting 20-30 mins into a .txt and feeding it to ChatGPT for summarizing. Thanks!

jdthedisciple 3y ago

Not sure why people are downvoting. I can confirm for some types of lectures this is a wholly legitimate approach.

ldenoue 3y ago
If you want to try scribe I developed last week, it adds punctuations from the raw YouTube transcripts so you can read them more easily. It also adds chapters every 3 paragraphs to more easily skim the content. All runs in your browser using 2 models https://www.appblit.com/scribe https://www.appblit.com/scribe

chiefalchemist 3y ago

Not for uni but I was thinking similar. Find or create a playlist, have this tool transcribe it, feed all that into ChatGPT or similar, have to output a summary, either brief (i.e., highlights) or full depth & breadth of all the videos.

evanreichard 3y ago

Coincidentally I threw something together this weekend that attempts to do just that. [0] It's really simple - just extracts subtitles and feeds it to ChatGPT to generate a markdown "article". [0] https://vreader.va.reichard.io/ https://vreader.va.reichard.io/ [1] https://gitea.va.reichard.io/evan/VReader https://gitea.va.reichard.io/evan/VReader

jdthedisciple 3y ago
This is interesting. I assume the samples on the website you linked are all precomputed outputs, right?
- evanreichard 3y ago
  Well it's live, so you can throw a YouTube URL into it right now and get an auto generated article from GPT-3.5 in about 15 seconds. The items on the site right now are myself / others using it. Depends on the video length, but each generated article costs about $0.005 in API usage. Edit: Ah just understood your question (coffee just kicked in). Yes, they're precomputed from when others used it. I save the generated articles in markdown format and sort by most recently generated.