youtube-ai-summary-deploy-guide

Deploying YouTube video summary sites using Chapter 3.5, Vercel, and Render

Preparation

• An account that can access the ChatGPT web version
• Vercel account https://vercel.com/
• Render account https://dashboard.render.com/

Step 1

There are two ways to obtain YouTube subtitles:

• Using third-party Python library yt-dlp https://github.com/yt-dlp/yt-dlp
• Using the third-party library Puppeter of Nodejs, simulate opening a YouTube video page in a headless browser, and grab the timedtext interface

Step 2

Build an API service using the open-source third-party OpenAI library in GitHub. Note that the third-party needs to support access token login. Such As: https://github.com/zxxx98/go-chatgpt-api

Step 3

Debug prompt to enable chatgpt to output a text in MDX format

Step 4

Call GitHub's API and submit the generated MDX file to the web site repository (I am using the Vercel template here, which listens to repository changes and automatically initiates compilation)

Step 5

Vercel compilation(Automatic Initiation)

Done

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Example URL: https://aivideosummary.top/

Vercel Recommended templates: https://vercel.com/new/templates/next.js/tailwind-css-starter-blog

Welcome everyone to join the discussion! 🌟 If there is anything you don't understand, please feel free to ask and we are happy to answer. 💡 Meanwhile, if you have any good ideas, please feel free to share them and let's explore and progress together! 🤝💭