Link to Colab Notebook: https://colab.research.google.com/github/jerpint/jerpint.github.io/blob/master/colabs/youGPTube.ipynb
In this video, we look at automating the process of summarizing videos using chatGPT and whisper.
Here are the main steps:
1) Extract the audio using youtube-dl to an .mp3 file
2) Transcribe the audio using whisper, OpenAI’s speech2text model
3) Summarize the transcriptions using ChatGPT
To be super meta, after uploading this video, I used the tool to summarize it:
Short Summary:
The video demonstrates how to use open AI’s speech to text model, ChaiGPT, and Librosa to automate the process of summarizing YouTube videos. The tool can provide both long and short summaries of the videos and is best suited for videos with a lot of audio. The examples given in the video include summaries of a video on stretching and a conversation on AI alignment and the future of AI.
Long Summary:
The video is a tutorial on how to automate the process of summarizing YouTube videos using open AI’s speech to text model, YouTube DL, ChaiGPT, and Librosa. The process includes downloading the audio, chunking the audio, transcribing the audio using open AI’s whisper model, summarizing the transcriptions using ChaiGPT, and returning both a long and short summary of the video. The video also includes code snippets and explanations of each step in the process.
– The tool is used to summarize YouTube videos and transcribes raw audio chunks
– The tool works best on videos with a lot of audio, ideally one to two people speaking
– The long summary for a video on why you should stretch says that stretching can prevent muscle injuries, there are two types of stretching, and a comprehensive stretching regimen can improve flexibility, pain thresholds, and create lasting changes in the brain
– The tool outputs plain text files for the summary, raw audio, and chunks, which are saved neatly together in a directory/folder
– The tool also works on longer, two-person videos, as shown by the summary of a conversation on AI alignment and the future of AI being a collaboration between humans and machines, with challenges in achieving alignment with smarter models and potential for illegal/malicious use of AI
– The TLDR for the AI conversation is that the co-founder and chief scientist of Open AI discusses various topics, including AI alignment and the future of AI as a collaboration between humans and machines, with acknowledgement of the difficulty and potential issues in achieving alignment with smarter models and potential misuse of AI
Hope you enjoyed this video!
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