Leverage openAI api with Next.js

Next.js is a popular open-source framework used to build server-side rendered React applications. It provides an easy-to-use API for creating dynamic web pages and allows developers to easily integrate with various APIs to enhance the functionality of their applications. In this article, we will explore how to use the OpenAI API in Next.js to add artificial intelligence capabilities to your web application.

OpenAI is an artificial intelligence research laboratory consisting of leading AI researchers and engineers. They provide a range of APIs that allow developers to build powerful AI applications. The OpenAI API can be used to perform tasks such as text classification, sentiment analysis, and language translation.

To get started with the OpenAI API in Next.js, you will need to create an account on the OpenAI website and obtain an API key. Once you have obtained your API key, you can install the OpenAI package using npm.

npm install openai

Next, you will need to create a new file in your Next.js project called openai.js. This file will contain the code for accessing the OpenAI API. In this file, you will need to import the openai package and set up the API key as follows:

const openai = require('openai');
const OPENAI_API_KEY = process.env.OPENAI_API_KEY;

openai.apiKey = OPENAI_API_KEY;

Note that we are using process.env to access the API key, which means that we will need to set up an environment variable to store the API key. You can do this by creating a new file in your Next.js project called .env.local and adding the following line:

OPENAI_API_KEY=<your-api-key>

Replace <your-api-key> with your actual API key.

Now that we have set up the OpenAI API key, we can start using the API in our Next.js application. Let’s say we want to perform sentiment analysis on a piece of text. We can create a new API endpoint in our Next.js application to handle this request.

import openai from '../openai';

export default async function handler(req, res) {
 const { text } = req.body;

 const response = await openai.completions.create({
 engine: 'davinci',
 prompt: `What is the sentiment of the following text: ${text}`,
 maxTokens: 1,
 n: 1,
 stop: '\n',
 });

 const sentiment = response.choices[0].text;

 res.status(200).json({ sentiment });
}

In this example, we are using the openai.completions.create method to perform sentiment analysis on the text parameter passed in the request body. We are using the davinci engine, which is the most powerful engine provided by OpenAI. We are also setting maxTokens to 1, which means that we want the API to return a single word response, and n to 1, which means that we want only one response. Finally, we are setting stop to \n, which means that we want the response to end at the first line break.

Once we have received the response from the OpenAI API, we can extract the sentiment from the choices array and return it to the client as a JSON response.

Using the OpenAI API in Next.js allows us to add powerful AI capabilities to our web applications with minimal effort. By leveraging the power of machine learning, we can automate tasks, gain insights into user behavior, and provide more personalized experiences to our users. With the OpenAI API, the possibilities are endless.