Integrating Dall-E using Vanilla JS and Node.js: A Step-by-Step Guide
DALL-E Image is a generative image model that can create images from text descriptions. It is based on the DALL-E model, which was released by OpenAI in January 2021. DALL-E Image uses a pre-trained VQ-VAE encoder to compress images into discrete codes, and then feeds them to a transformer decoder to generate images.
In this blog post, I will show you how to integrate DALL-E Image with vanilla JS and Node.js, so you can create your own web app that allows users to generate images from text. You will need the following:
• A DALL-E Image API key, which you can get from https://dall-e-image.openai.com/
• A Node.js server, which will handle the requests to the DALL-E Image API and serve the static files
• A vanilla JS client, which will send the text input to the server and display the generated images
We'll need a few libraries to handle the server and frontend. Install the required dependencies using npm:
npm install express body-parser axios
First, we need to set up a simple Node.js server that will act as a proxy for the DALL-E Image API. We will use the Express framework and the Axios library for this. Create a new folder for your project.
Next, create a file called server.js and paste the following code:
// Import Express and Axios const express = require('express'); const axios = require('axios'); // Create an Express app const app = express(); // Define a port number const port = 3000; // Define a route for the DALL-E Image API app.get('/dalle-image', async (req, res) => { // Get the text input from the query string const text = req.query.text; // Check if the text is valid if (!text) { // Return an error message if not res.status(400).send('Please provide a text input'); return; } // Define the DALL-E Image API URL const url = 'https://dall-e-image.openai.com/v1/images:generate'; // Define the DALL-E Image API key // Replace this with your own key const key = 'sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'; // Define the DALL-E Image API parameters const params = { text: text, num_images: 4, diversity: 0.5, truncation: 0.7, size: [256, 256] }; try { // Make a POST request to the DALL-E Image API with Axios const response = await axios.post(url, params, { headers: { 'Authorization': `Bearer ${key}` } }); // Get the data from the response const data = response.data; // Check if the data is valid if (!data || !data.images) { // Return an error message if not res.status(500).send('Something went wrong with the DALL-E Image API'); return; } // Return the data as JSON res.json(data); } catch (error) { // Handle any errors console.error(error); res.status(500).send('Something went wrong with the server'); } }); // Serve static files from the public folder app.use(express.static('public')); // Start listening on the port app.listen(port, () => { console.log(`Server running on http://localhost:${port}`); }); This code defines a route for /dalle-image, which takes a text input from the query string and sends it to the DALL-E Image API with Axios. It then returns the data from the API as JSON, or an error message if something goes wrong.
You also need to replace the key variable with your own DALL-E Image API key, which you can get from https://dall-e-image.openai.com/.
Next, we need to set up a simple vanilla JS client that will send the text input to the server and display the generated images. Create a new folder called public inside your project folder and create two files inside it: index.html and script.js.
Paste the following code into index.html:
DALL-E Image Demo /* Add some basic styles */ body { font-family: Arial, sans-serif; margin: 0; padding: 20px; } h1 { text-align: center; } form { display: flex; flex-direction: column; align-items: center; } input { width: 80%; padding: 10px; border: 1px solid #ccc; border-radius: 5px; } button { width: 20%; padding: 10px; margin-top: 10px; border: none; border-radius: 5px; background-color: #0078d4; color: white; cursor: pointer; } .images { display: flex; flex-wrap: wrap; justify-content: center; margin-top: 20px; } .image { width: 256px; height: 256px; margin: 10px; } DALL-E Image Demo Generate This code defines a simple HTML structure with a form, an input, a button and a div for the images. It also adds some basic styles and loads the script.js file.
Paste the following code into script.js:
// Get the elements from the document const form = document.getElementById('form'); const input = document.getElementById('input'); const button = document.getElementById('button'); const images = document.getElementById('images'); // Add an event listener for the form submission form.addEventListener('submit', async (event) => { // Prevent the default behavior of the form event.preventDefault(); // Get the text input from the input element const text = input.value; // Check if the text is valid if (!text) { // Alert the user if not alert('Please enter a text description'); return; } // Disable the button and clear the images div button.disabled = true; images.innerHTML = ''; try { // Define the server URL const url = '/dalle-image'; // Define the query string parameters const params = new URLSearchParams({ text }); // Make a GET request to the server with fetch const response = await fetch(`${url}?${params}`); // Check if the response is ok if (!response.ok) { // Throw an error if not throw new Error(`Something went wrong with the server (${response.status})`); } // Get the data from the response as JSON const data = await response.json(); // Check if the data is valid if (!data || !data.images) { // Throw an error if not throw new Error('Something went wrong with the DALL-E Image API'); } // Loop through the images array in the data for (const image of data.images) { // Create a new image element const img = document.createElement('img'); // Set the src attribute to the image data URL img.src = image.data; // Set the class attribute to 'image' img.className = 'image'; // Append the image element to the images div images.appendChild(img); } } catch (error) { // Handle any errors console.error(error); alert(error.message); } finally { // Enable the button again button.disabled = false; } }); This code adds an event listener for the form submission, which gets the text input from the input element and sends it to the server with fetch. It then gets the data from the server as JSON and loops through the images array in the data. For each image, it creates a new image element and sets its src attribute to the image data URL. It then appends the image element to the images div. It also handles any errors and enables or disables the button accordingly.
In this blog post, we have learned how to integrate DALL-E Image with vanilla JS and Node.js, using the Express framework and the Axios library. We have created a simple web app that allows users to generate images from text descriptions, using the DALL-E Image API. We have also seen how to handle the requests and responses from the API, and how to display the generated images on the web page. We hope you enjoyed this tutorial and learned something new. Feel free to experiment with different text inputs and see what kind of images you can create with DALL-E Image. Have fun!
#AI #ChatGPT #Dall-E