BibiGPT v1

This repo is only for v1 and supports Bilibil and YouTube!

? BibiGPT: one-Click AI Summary for Audio/Video & Chat with Learning Content https://bibigpt.co

? Effortlessly summarize YouTube and Bilibili videos with our AI-driven Video Summarizer. It also works for Podcasts, Twitter, Meetings, Lectures, Tiktok videos, and more. Discover a more brilliant way to learn with ChatGPT, your best AI-powered study companion! (formerly BiliGPT) "stream-saving artifact & class representative".

Alternate address: https://b.jimmylv.cn Browser extension: https://bibigpt.co/extension

---

? BibiGPT · AI 音視頻內容一鍵總結& 對話https://bibigpt.co

? ChatGPT AI 音視頻一鍵總結，輕鬆學習嗶哩嗶哩丨YouTube 丨本地視頻丨本地音頻丨播客丨小紅書丨抖音丨會議丨講座丨網頁等任意內容。 BibiGPT 助力於成為最好的AI 學習助理，支持免費試用！ (原BiliGPT 省流神器& AI 課代表)（支持iOS 快捷指令& 微信服務號）。

備用地址：https://b.jimmylv.cn 瀏覽器插件: https://bibigpt.co/extension

---

? This project summarizes YouTube/Bilibili/Twitter/TikTok/Podcast/Lecture/Meeting/... videos or audios for you using AI.

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

First Launch: 【BibiGPT】AI 自動總結B 站視頻內容，GPT-3 智能提取並總結字幕

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 .

specific running procedure is described in this document - Chinese version

npm run dev

Deployment

Deploy the example using Vercel

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

Support Docker

#133

 # make sure setup .env file firstly
docker compose up -d

Support -> Contact Me

Star History

Contributors

This project exists thanks to all the people who contribute.