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Updated API from GPT-3 to ChatGPT gpt-3.5-turbo using a gpt-chatgpt w…
…rapper to make it work
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| Original file line number | Diff line number | Diff line change |
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| import express from 'express' //backend server framework | ||
| import * as dotenv from 'dotenv' // access and use API KEY stored in .env file | ||
| import cors from 'cors' //allow make cross origin API request to server from frontend | ||
| import allowedOrigins from './whitelist.js'; //allowed domains only | ||
| import { Configuration, OpenAIApi } from 'openai' //Openai API wrapper | ||
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| //call config function to give access to .env API KEY variable | ||
| dotenv.config() | ||
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| //Openai API wrapper function which accepts API KEY as object parameter | ||
| const configuration = new Configuration({ | ||
| apiKey: process.env.OPENAI_API_KEY, | ||
| }); | ||
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| // create instance of Openai and pass in the configuration object created above | ||
| const openai = new OpenAIApi(configuration); | ||
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| // initialize expressjs server | ||
| const app = express() | ||
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| // configure the cors middleware to allow accepting and processing request from allowed domains | ||
| app.use(cors({ | ||
| origin: (origin, callback) => { | ||
| // check if the origin is in the allowed origins array | ||
| if (allowedOrigins.indexOf(origin) !== -1) { | ||
| callback(null, true); | ||
| } else { | ||
| callback(new Error('Not allowed by CORS')); | ||
| } | ||
| } | ||
| })); | ||
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| //middleware: allows the backend to recieve and acces request from frontend as a json object | ||
| // rather than just a string. | ||
| // This is necessary in the following POST request route code: | ||
| // app.post('/', async (req, res) => { | ||
| // try {const prompt = req.body.prompt; | ||
| // where it uses req.body to get the prompt data/question sent in the post request | ||
| // from our chatGPT Ai chatBot SvelteKit powered frontend | ||
| app.use(express.json()) | ||
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| // routes/endpoint to expose expressjs backend to frontend "GET" request | ||
| // with a return statement of info to show user visiting the route | ||
| // "started on http://localhost:5001" makes the port link clickable from terminal | ||
| app.get('/', async (req, res) => { | ||
| res.status(200).send({ | ||
| message: 'Hello Web3 AI World from Foskaay AI', | ||
| }) | ||
| }) | ||
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| //route/endpoint which allows Expressjs backend to recieve and process | ||
| // the request sent from users of our chatGPT Ai chatBot SvelteKit powered frontend | ||
| app.post('/', async (req, res) => { | ||
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| // check if the origin is in the allowed origins array/whitelist domains | ||
| // before processing request | ||
| if (!allowedOrigins.includes(req.headers.origin)) { | ||
| return res.status(401).send({ message: 'Unauthorized: Origin not allowed' }); | ||
| } | ||
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| try { | ||
| const prompt = req.body.prompt; //access user question submited as prompt | ||
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| //Initiate an API call to Openai's API to recieve response for user questions | ||
| //from Openai's AI | ||
| // But while making the call we bundle the user question/prompt and other | ||
| // instructions to ensure we get the best response from the AI back to user | ||
| const response = await openai.createCompletion({ | ||
| model: "text-davinci-003", //most powerful openai large language Ai model for now | ||
| prompt: `${prompt}`, //input text value of the form input box in sveltekit app ui | ||
| temperature: 1, // Higher values means the model will take more risks and can change/modify response for same question when asked again. | ||
| max_tokens: 3000, // If not specified, it auto limit reponses usually less than 50 character (thats about 50 words)The maximum number of tokens to generate in the completion. Most models have a context length of 2048 tokens (except for the newest models, which support over 8,000). | ||
| top_p: 1, // alternative to sampling with temperature, called nucleus sampling | ||
| frequency_penalty: 0.5, // Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. | ||
| presence_penalty: 0, // Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. | ||
| // user: "user123456", // optional but can be useful to detect user abusing your API request. You can use session ID or hash email/psw so each user is unique but still not individually identificable for openai | ||
| }); | ||
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| //Send the AI response back to user of | ||
| // our chatGPT Ai chatBot SvelteKit powered frontend | ||
| //in json format with a success status code of 200. | ||
| res.status(200).send({ | ||
| ai: response.data.choices[0].text | ||
| }); | ||
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| // logs error to the console and sends it back our chatGPT Ai chatBot SvelteKit powered frontend | ||
| //with a status of 500 if there is any error caught in try block. | ||
| } catch (error) { | ||
| console.error(error) | ||
| res.status(500).send(error || 'Something went wrong communicating with Ai Foskaay'); | ||
| } | ||
| }) | ||
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| // start the server on specified port on localhost | ||
| // this get overriden when deployed to web server by the server url | ||
| app.listen(5000, () => console.log('Foskaay Ai server started on http://localhost:5000')) |