Next.js 14: App with OpenAI API Integration

Introduction

In today's digital landscape, AI-powered applications are becoming increasingly popular. In this tutorial, we'll explore how to build a web application using Next.js and React, while seamlessly integrating the OpenAI API. By the end, you'll have a powerful app that leverages AI capabilities for generating prompts and collecting user information.

Prerequisites

Before we get started, make sure you have the following prerequisites installed on your machine:

1. Node.js and npm: These are essential for building Next.js and React applications. You can download Node.js from the official website or use a package manager like Homebrew.

2. OpenAI API key: Sign up for an API key at OpenAI's signup page. Keep your secret API key private.

Setting Up the Project

Let's organize our project directory structure:

project/
├── src/
│   ├── components/
│   ├── pages/
│   ├── redux/
│   ├── styles/
│   ├── utils/
│   ├── index.js
│   └── store.js
├── public/
├── vercel.json
├── package.json
└── next.config.js

This structure follows Next.js conventions, including a src directory for source code, a public directory for static assets, and configuration files.

Integrating the OpenAI API

1. Install the openai npm package: ```bash

npm install openai

2. Create an openai.js file in the src/utils directory with the following code:



   import { OpenAI } from 'openai';

   const openai = new OpenAI('your-api-key');

   async function generatePrompts(engine, prompt) {
       const response = await openai.createCompletion({
           engine: engine,
           prompt: prompt,
           max_tokens: 1024,
           temperature: 0.5,
       });
       return response.choices[0].text.trim();
   }


</code></pre></div><h2>
  <a name="examples" href="#examples">
  </a>
  Examples
</h2>

<p>Now, let's create a chatbot or a content generator using the OpenAI API. You can customize the prompts and explore various use cases. For instance, you could build a recommendation engine, an automated email responder, or even a creative writing assistant.</p>
<h3>
  <a name="example-1-chatbot" href="#example-1-chatbot">
  </a>
  Example 1: Chatbot
</h3>

<p>Imagine a chatbot that interacts with users on your website. You can use the OpenAI API to generate responses based on user queries. Here's a simplified example:</p>
<div class="highlight"><pre class="highlight javascript"><code>

<span class="c1">// Inside your chatbot component</span>
<span class="kd">const</span> <span class="nx">userQuery</span> <span class="o">=</span> <span class="dl">'</span><span class="s1">Tell me a joke!</span><span class="dl">'</span><span class="p">;</span>
<span class="kd">const</span> <span class="nx">chatbotResponse</span> <span class="o">=</span> <span class="k">await</span> <span class="nf">generatePrompts</span><span class="p">(</span><span class="dl">'</span><span class="s1">davinci</span><span class="dl">'</span><span class="p">,</span> <span class="nx">userQuery</span><span class="p">);</span>
<span class="nx">console</span><span class="p">.</span><span class="nf">log</span><span class="p">(</span><span class="nx">chatbotResponse</span><span class="p">);</span> <span class="c1">// Outputs a witty joke</span>


</code></pre></div><h3>
  <a name="example-2-content-generation" href="#example-2-content-generation">
  </a>
  Example 2: Content Generation
</h3>

<p>Suppose you're building a blog platform. You can use the OpenAI API to generate article summaries, headlines, or even entire paragraphs. Here's a snippet:</p>
<div class="highlight"><pre class="highlight javascript"><code>

<span class="c1">// Inside your blog post creation logic</span>
<span class="kd">const</span> <span class="nx">articlePrompt</span> <span class="o">=</span> <span class="dl">'</span><span class="s1">Write a summary of the latest tech trends.</span><span class="dl">'</span><span class="p">;</span>
<span class="kd">const</span> <span class="nx">articleSummary</span> <span class="o">=</span> <span class="k">await</span> <span class="nf">generatePrompts</span><span class="p">(</span><span class="dl">'</span><span class="s1">curie</span><span class="dl">'</span><span class="p">,</span> <span class="nx">articlePrompt</span><span class="p">);</span>
<span class="nx">console</span><span class="p">.</span><span class="nf">log</span><span class="p">(</span><span class="nx">articleSummary</span><span class="p">);</span> <span class="c1">// Outputs a concise summary</span>


</code></pre></div><h2>
  <a name="conclusion" href="#conclusion">
  </a>
  Conclusion
</h2>

<p>Integrating AI into your Next.js app opens up exciting possibilities. Experiment, iterate, and build something remarkable. Whether you're enhancing user experiences, automating tasks, or creating engaging content, AI can be your ally.</p>

<p>Remember, the best way to learn is by building, so keep experimenting and enjoy your journey with Next.js! 🎉</p>

<p>If you have any questions, feel free to ask me! </p>

<p>If you like my post, support me on:  <a href="https://www.buymeacoffee.com/wadizaatour"><img src="https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2znn4km0i2jib7ru1sm9.png" alt=""></a></p>