How to Call OpenAI GPT-3 API in JavaScript

In today’s technology landscape, artificial intelligence (AI) and machine learning (ML) are becoming increasingly popular and widely used. One of the most exciting and cutting-edge developments in AI and ML is OpenAI’s Generative Pretrained Transformer 3 (GPT-3), a state-of-the-art language model that is capable of performing a wide range of natural language processing tasks.

In this article, we’ll be discussing how to call the GPT-3 API in JavaScript, so that you can start taking advantage of its many features and capabilities.

Setting Up Your Environment

Before we can start calling the GPT-3 API in JavaScript, we need to make sure that we have the right tools and environment in place.

The first thing you’ll need is an OpenAI API key. This key will give you access to the GPT-3 API, and you’ll need to provide it every time you make a call to the API. If you don’t already have an API key, you can sign up for one on the OpenAI website.

Once you have your API key, you’ll also need to have a working knowledge of JavaScript. If you’re not already familiar with JavaScript, there are many resources available online that can help you get up to speed.

Making API Calls with JavaScript

Making API calls in JavaScript is relatively straightforward, and there are many libraries and tools available that can help you get started.

One of the most popular libraries for making API calls in JavaScript is Axios, which is a lightweight, promise-based HTTP client that is easy to use and highly customizable.

To use Axios to make API calls to the GPT-3 API, you’ll first need to install it in your project by running the following command:

npm install axios

Once you have Axios installed, you can use it to make API calls to the GPT-3 API by importing it into your JavaScript code and using the axios.post method, as shown in the following example:

import axios from 'axios';

const API_KEY = 'YOUR_API_KEY_HERE';
const API_URL = 'https://api.openai.com/v1/engines/davinci/jobs';

const data = {
  prompt: 'What is the weather like today in Seattle?',
  max_tokens: 100,
  n: 1,
  stop: null,
  temperature: 0.5
};

axios.post(API_URL, data, {
  headers: {
    'Content-Type': 'application/json',
    'Authorization': `Bearer ${API_KEY}`
  }
})
  .then(response => {
    console.log(response.data.choices[0].text);
  })
  .catch(error => {
    console.error(error);
  });

In this example, we’re making a POST request to the GPT-3 API with a prompt asking for the weather in Seattle. We’re also setting the max_tokens parameter to 100, which means that the API will return up to 100 tokens (words or phrases) in its response.

The response from the API will be a JSON object, which you can access and manipulate as needed. In this example, we’re logging the text of the response to the console.