🤖 BibiGPT: 1-Click AI Summary for Audio/Video & Chat with Learning Content bibigpt.co

🎉 (formerly BiliGPT), now has support for: Bilibili 丨 YouTube 丨 Webpage 丨 Podcast 丨 Meeting 丨 Local audio and video files and other learning content, "stream-saving artifact & class representative".

Alternate address: https://b.jimmylv.cn

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🤖 BibiGPT · 音视频 AI 一键总结 & 对话 b.jimmylv.cn

🎉 (原 BiliGPT)，现已经支持：哔哩哔哩丨YouTube丨网页丨播客丨会议丨本地音视频文件等学习内容的一键总结，“省流神器 & 课代表”。

备用地址：https://bibigpt.co

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🎬 This project summarizes Bilibili/YouTube/Podcast/Meeting/... videos or audios for you using AI.

🤯 Inspired by Nutlope/news-summarizer & zhengbangbo/chat-simplifier & lxfater/BilibiliSummary

🚀 First Launch: 【BibiGPT】AI 自动总结 B 站视频内容，GPT-3 智能提取并总结字幕

How it works

This project uses the OpenAI ChatGPT API (specifically, gpt-3.5-turbo) and Vercel Edge functions with streaming and Upstash for Redis cache and rate limiting. It fetches the content on a Bilibili video, sends it in a prompt to the GPT-3 API to summarize it via a Vercel Edge function, then streams the response back to the application.

Saving costs

Projects like this can get expensive so in order to save costs if you want to make your own version and share it publicly, I recommend three things:

• 1. Implement rate limiting so people can't abuse your site
• 2. Implement caching to avoid expensive AI re-generations
• 3. Use text-curie-001 instead of text-dacinci-003 in the summarize edge function

Running Locally

After cloning the repo, go to OpenAI to make an account and put your API key in a file called .env.

Then, run the application in the command line and it will be available at http://localhost:3000.

npm run dev

Deployment

Deploy the example using Vercel

Setup the env variables, by following the ./example.env file.

Support -> Contact Me

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Contributors

This project exists thanks to all the people who contribute.