Using ChatGPT as an Educational Chatbot in a Next.js Frontend: A Guide | HackerNoon

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Using ChatGPT as an Educational Chatbot in a Next.js Frontend: A Guide | HackerNoon
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Let’s try our hand at building just such a frontend integration — a chat helper that can use OpenAI to answer a potential student’s questions... - webdevelopment graphql

OpenAPI has added CloudFlare protection to ChatGPT recently, making it harder to use the unofficial API.under the hood to automate bypassing these protections — all you have to do is provide your OpenAI email and password in an .

env file.import { ChatGPTAPI, getOpenAIAuth } from 'chatgpt' import * as dotenv from 'dotenv' dotenv.config import express from 'express' const app=express app.use) const port=3001 async function getAnswer { // use puppeteer to bypass cloudflare const openAIAuth=await getOpenAIAuth const api=new ChatGPTAPI await api.initSession // send a message and wait for the response const response=await api.sendMessage // response is a markdown-formatted string return response } // GET app.get=>{ // res.send }); res.send }) // POST app.post=>{ // Get the body from the request const { body }=req console.log // debug res.send, }) }) app.listen=>{ console.log }) The API server code itself is pretty self-explanatory. It receives a question in the request body, uses ChatGPT to send it to OpenAI servers, awaits an answer, and serves both in this response format:WunderGraph works by introspecting your data sources and consolidating them all into a single, unified virtual graph, that you can then define operations on, and serve the results via JSON-over-RPC.An OpenAPI/Swagger specification is a human-readable description of your RESTful API. This is just a JSON or YAML file describing the servers an API uses, its authentication methods, what each endpoint does, the format for the params/request body each need, and the schema for the response each returns.that can automate it.{ "openapi": "3.0.0", "info": { "title": "express-chatgpt", "version": "1.0.0", "license": { "name": "ISC" }, "description": "OpenAPI v3 spec for our API." }, "servers": , "paths": { "/api": { "get": { "summary": "/api", "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "question": { "type": "string", "description": "The question to be asked", "example": "What is the answer to life, the universe, and everything?" }, "answer": { "type": "string", "description": "The answer", "example": "42!" } } } } } } }, "tags": [] }, "post": { "summary": "/api", "requestBody": { "required": true, "content": { "application/json": { "schema": { "type": "object", "properties": { "question": { "type": "string", "description": "The question to be asked", "example": "What is the answer to life, the universe, and everything?" } } } } } }, "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "question": { "type": "string", "description": "The question to be asked", "example": "What is the answer to life, the universe, and everything?" }, "answer": { "type": "string", "description": "The answer", "example": "42!" } } } } } } } } } } }create-wundergraph-appThen, CD into the directory you just asked the CLI to create:That’ll boot up the WunderGraph AND Next.js servers , giving you a Next.js splash page atStep 1: Setting up WunderGraph WunderGraph can introspect pretty much any data source you can think of — microservices, databases, APIs — into a secure, typesafe JSON-over-RPC API, OpenAPI REST, GraphQL, PlanetScale, Fauna, MongoDB, and more, plus any Postgres/SQLite/MySQL database.directory, and add our REST endpoint as one such data source our app depends on, and one that WunderGraph should introspect. const chatgpt=introspect.openApi // add this data source to your config like a dependency configureWunderGraphApplication //... A real-world app will, of course, have more than just one REST endpoint, and you’d define them just like this. Check out the different types of data sources WunderGraph can introspect here, then define them accordingly in your config. Once you’ve run npm start, WunderGraph monitors necessary files in your project directory automatically; so just hitting save here will get the code generator running, and it’ll generate a schema that you can inspect — the

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