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原项目

使用 ChatGPT 的技术与诗歌集对话 Paul Graham's

睡前消息数据集

睡前消息在线文稿中爬取下来,爬虫算法详见scrape_info.ts

根据原文章的段落分割,将数据按照@types/index.ts中的数据定义,先经过 ChatGPT-Embedding 后上传至supabase

上图中整理好的稿件文本,我已处理好至数据库中:https://app.supabase.com/project/cztlxgqsdztvoirjhjqj,可以自行再做处理

如何使用

有两种使用方法:

  1. 搜索接口
  2. chat 接口

搜索

搜索功能基于 OpenAI Embeddings (text-embedding-ada-002).

首先将文章分段,每一段都经过 Embedding,并切数据储存在 supabase 中

在调用时,我们的输入文字会通过 Embedding,然后和数据集所有的片段计算语义相似度,然后会返回语义最相近的结果,返回结果的数量可以在 settings 中设置

通过搜索接口,可以快速找到想要的相关内容片段及其对应的文稿链接,快速跳转到该文稿页面查看当期睡前消息

Chat

Chat 功能基于搜索功能,将搜索结果的片段作为 ChatGPT 的提示输入,然后让其返回相关内容描述

这样,可以实现类似于对话的功能,借助 ChatGPT 与以往所有睡前消息进行交流,让其为我们做总结、归纳、或者拓展

Requirements

  1. Set up OpenAI

You'll need an OpenAI API key to generate embeddings.

  1. Set up Supabase and create a database

Note: You don't have to use Supabase. Use whatever method you prefer to store your data. But I like Supabase and think it's easy to use.

There is a schema.sql file in the root of the repo that you can use to set up the database.

Run that in the SQL editor in Supabase as directed.

I recommend turning on Row Level Security and setting up a service role to use with the app.

Repo Setup

  1. Clone repo
git clone https://github.com/mckaywrigley/paul-graham-gpt.git
  1. Install dependencies
npm i
  1. Set up environment variables

Create a .env.local file in the root of the repo with the following variables:

OPENAI_API_KEY=

NEXT_PUBLIC_SUPABASE_URL=
SUPABASE_SERVICE_ROLE_KEY=

Dataset

  1. Run scraping script
npm run scrape

This scrapes all of the essays from Paul Graham's website and saves them to a json file.

  1. Run embedding script
npm run embed

This reads the json file, generates embeddings for each chunk of text, and saves the results to your database.

There is a 200ms delay between each request to avoid rate limiting.

This process will take 20-30 minutes.

App

  1. Run app
npm run dev

Credits

Thanks to Paul Graham for his writing.

I highly recommend you read his essays.

3 years ago they convinced me to learn to code, and it changed my life.

Contact

If you have any questions, feel free to reach out to me on Twitter!

Notes

I sacrificed composability for simplicity in the app.

Yes, you can make things more modular and reusable.

But I kept pretty much everything in the homepage component for the sake of simplicity.

About

基于ChatGPT,实现对睡前消息的搜索、交流:https://chet-with-bedtime.vercel.app/

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