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tingiristingiris
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‎.replit

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Run = "node ./bin/www"

‎README.md

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# GPT Answers
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This is an example GPT-3 powered knowledge base application.
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## Before you begin
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You'll need two things to make this code work.
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- An OpenAI API key
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- An account on replit.com
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## Deploying the code
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1. Click on the button below to copy this code to your replit.com account
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[![Run on Replit.com](https://repl.it/badge/github/dabblelab/building-discord-bots-with-twilio-autopilot)](https://repl.it/github/dabblelab/building-discord-bots-with-twilio-autopilot)
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![run on replit button goes here](./public/images/run-on-replit.svg)
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2. Setup a secret / environment variable in replit.com for our OpenAI API key
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- In replit, click the padlock icon to add a new secret / environment variable
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- For the name use `OPENAI_API_KEY` and your OpenAI API key for the value
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## Running the application
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After your OpenAI API key is set as an environment variable, you can just click the `Run` button in the replit.com IDE.

‎answers.jsonl

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{"text": "I am a day younger than I will be tomorrow"}
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{"text": "I like to code in Python."}
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{"text": "My favorite food is carrot cake."}

‎app.js

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var express = require('express');
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var path = require('path');
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var cookieParser = require('cookie-parser');
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var logger = require('morgan');
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var indexRouter = require('./routes/index');
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var answerRouter = require('./routes/answer');
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var app = express();
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const rateLimit = require("express-rate-limit");
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const apiLimiter = rateLimit({
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windowMs: 1 * 60 * 1000,
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max: 6
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});
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app.use("/answer/", apiLimiter);
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app.use(logger('dev'));
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app.use(express.json());
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app.use(express.urlencoded({ extended: false }));
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app.use(cookieParser());
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app.use(express.static(path.join(__dirname, 'public')));
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app.use('/', indexRouter);
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app.use('/answer', answerRouter);
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module.exports = app;

‎files-upload.js

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const fs = require('fs');
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const axios = require('axios');
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const FormData = require('form-data');
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const data = new FormData();
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data.append('purpose', 'answers');
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data.append('file', fs.createReadStream('answers.jsonl'));
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const params = {
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method: 'post',
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url: 'https://api.openai.com/v1/files',
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headers: {
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'Authorization': 'Bearer ' + process.env.OPENAI_API_KEY,
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...data.getHeaders()
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},
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data: data
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}
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axios(params)
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.then(function(response) {
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console.log(response.data);
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})
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.catch(function(error) {
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console.log(error.message);
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});
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‎public/images/run-on-replit.svg

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Loading

‎public/index.html

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<html>
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<head>
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<title>GPT Answers</title>
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/uikit.min.css">
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</head>
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<body>
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<div class="uk-section uk-section-large uk-height-viewport">
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<div class="uk-container uk-text-center uk-padding-large">
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<h1 class="uk-heading-medium"><strong>GPT</strong> Answers </h1>
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<p class="uk-text-lead">An Example Knowledge Base App Powered by GPT-3</p>
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</div>
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<div class="uk-container uk-text-center">
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<form class="uk-grid-collapse" uk-grid>
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<div class="uk-width-1-1 ">
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<input id="question" class="uk-input uk-width-1-3" type="text">
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<button type="submit" class="uk-button uk-button-default uk-width-1-5">Get Answer</button>
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</div>
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</form>
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</div>
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<div class="uk-container uk-text-center uk-padding">
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<div class="uk-inline">
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<div id="answer" class="uk-flex uk-flex-center uk-flex-middle uk-padding uk-width-expand"></div>
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</div>
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</div>
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</div>
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<script src="https://unpkg.com/axios/dist/axios.min.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/uikit.min.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/uikit-icons.min.js"></script>
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<script src="/javascripts/script.js"></script>
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</body>
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</html>
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‎public/index_temp.html

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<html>
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<head>
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<title>GPT Answers</title>
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/uikit.min.css">
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</head>
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<body>
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<div class="uk-section uk-section-large uk-height-viewport">
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<div class="uk-container uk-text-center uk-padding-large">
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<h1 class="uk-heading-medium"><strong>GPT</strong> Answers </h1>
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<p class="uk-text-lead">An Example Knowledge Base App Powered by GPT-3</p>
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<p>This will be a live version of the example GPT-3 application that is built in Chapter 9 and 10 of the book <a href="https://www.amazon.com/dp/1800563191">Exploring GPT-3</a></p>
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</div>
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</div>
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<script src="https://unpkg.com/axios/dist/axios.min.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/uikit.min.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/uikit-icons.min.js"></script>
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<script src="/javascripts/script.js"></script>
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</body>
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</html>
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‎public/javascripts/script.js

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const form = document.querySelector('form');
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const answer = document.querySelector('#answer');
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const formEvent = form.addEventListener('submit', event => {
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event.preventDefault();
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const question = document.querySelector('#question');
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if (question.value) {
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askQuestion(question.value);
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} else {
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answer.innerHTML = "You need to enter a question to get an answer.";
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answer.classList.add("error");
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}
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});
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const appendAnswer = (result) => {
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answer.innerHTML = `<p>${result.answer}</p>`;
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};
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const askQuestion = (question) => {
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const params = {
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method: 'post',
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url: '/answer',
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headers: {
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'content-type': 'application/json'
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},
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data: { question }
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};
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axios(params)
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.then(response => {
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const answer = response.data;
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appendAnswer(answer);
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})
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.catch(error => console.error(error));
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};

‎routes/answer.js

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const Filter = require('bad-words');
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const axios = require('axios');
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const express = require('express');
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const router = express.Router();
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const apiKey = process.env.OPENAI_API_KEY;
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const client = axios.create({
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headers: { 'Authorization': 'Bearer ' + apiKey }
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});
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const documents = [
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"I am a day older than I was yesterday.<|endoftext|>",
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"I build applications that use GPT-3.<|endoftext|>",
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"My preferred programming is Python.<|endoftext|>"
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]
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const endpoint = 'https://api.openai.com/v1/answers';
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router.post('/', (req, res) => {
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if (req.rateLimit.remaining == 0) {
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res.send({ "answer": "Ask me again in a minute." });
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return;
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};
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if (req.body.question.length > 150) {
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res.send({ "answer": "Sorry. That question is too long." });
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return;
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}
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let filter = new Filter();
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if (filter.isProfane(req.body.question)) {
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res.send({ "answer": "That’s not a question we can answer." });
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return;
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}
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const data = {
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"file": process.env.ANSWERS_FILE,
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"question": req.body.question,
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"search_model": "ada",
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"model": "curie",
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"examples_context": "My favorite programming language is Python.",
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"examples": [["How old are you?", "I'm a day older than I was yesterday."], ["What languages do you know?", "I speak English and write code in Python."]],
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"max_tokens": 15,
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"temperature": 0,
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"return_prompt": false,
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"expand": ["completion"],
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"stop": ["\n", "<|endoftext|>"],
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}
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client.post(endpoint, data)
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.then(result => {
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res.send({ "answer": result.data.answers[0] })
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}).catch(result => {
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res.send({ "answer": "Sorry, I don’t have an answer." })
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});
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});
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module.exports = router;
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‎routes/index.js

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var express = require('express');
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var router = express.Router();
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/* GET home page. */
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router.get('/', function(req, res, next) {
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res.render('index', { title: 'Express' });
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});
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module.exports = router;

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