Build a Full Stack Image Analysis App with OpenAI Vision API!

Table of Contents

1. Introduction
2. Building the Full Stack Application
3. Setting Up the Front End
4. Creating the NodeJS Backend
5. Integrating the Open AI Vision Model
6. Styling the App with CSS
7. Deploying the App with Acorn
8. Creating Your Own Acorn
9. Uploading and Analyzing Images
10. Conclusion

Introduction

In this article, we will be discussing how to build a full stack application that allows us to upload images and ask questions about them. We will be using React for the front end, a NodeJS backend, and the vision model from the Open AI API. To get started, we will first set up the front end and create the UI for our app. Then, we will work on the backend and integrate the Open AI vision model. Finally, we will style the app using CSS and deploy it using Acorn. Let's get started!

Building the Full Stack Application

To start building the full stack application, we will first set up the front end using React. We will create the user interface with a form to upload images and a button to ask questions about the image. We will also include a button to clear the image and response. Next, we will create the NodeJS backend to handle the image upload and question answering functionality. We will use Express for routing and handling HTTP requests. Furthermore, we will integrate the vision model from the Open AI API to analyze the uploaded images and provide answers to the questions. Finally, we will style the app using CSS to make it visually appealing. Let's dive in!

Setting Up the Front End

To set up the front end of our application, we will use React. We will start by creating a form to upload the images and a button to ask questions about the image. We will also include a button to clear the image and response. We will use useState hook to manage the state of the image, value, response, and error. Additionally, we will add functionality to handle the image upload, question asking, and clearing. Once the front end is set up, we can move on to creating the backend.

Creating the NodeJS Backend

In order to handle the image upload and question answering functionality, we need to create a NodeJS backend. We will use Express for routing and handling HTTP requests. We will define a POST endpoint for uploading the image and a POST endpoint for analyzing the image and providing answers to the questions. We will also use the fs and multer packages to handle file uploads. Additionally, we will implement error handling to catch any exceptions and display appropriate error messages. Once the backend is set up, we can integrate the Open AI vision model.

Integrating the Open AI Vision Model

To analyze the uploaded images and provide answers to the questions, we will integrate the vision model from the Open AI API. We will use the Open AI NodeJS Package to make API calls and pass the uploaded image to the vision model. We will send a POST request to the Open AI API with the image and question as parameters. Once we receive a response from the API, we will extract the answer from the response and display it to the user. Additionally, we will handle any errors that might occur during the API call. Now that we have integrated the vision model, let's move on to styling the app.

Styling the App with CSS

To make the app visually appealing, we will style it using CSS. We will use CSS classes to apply styles to different elements of the app. We will focus on making the UI intuitive and user-friendly. We will create a responsive design that looks good on different screen sizes and devices. Additionally, we will use CSS animations and transitions to add interactive elements to the app. Once the app is styled, we can deploy it using Acorn.

Deploying the App with Acorn

To deploy the app and make it accessible to users, we will use Acorn. Acorn is a platform that allows us to deploy web applications with ease. We will create an Acorn project and deploy our app to a live URL. We will share the URL with users so they can access the app and start uploading images and asking questions. Additionally, we will provide instructions on how to create their own Acorn project if they want to customize the app or deploy it on their own server. Let's get ready to deploy the app!

Creating Your Own Acorn

If you want to create your own Acorn project and customize the app, here are the steps you need to follow. First, create a project in Acorn and name it according to your preference. Then, go to GitHub and clone the project repository. Install all the required packages using npm install. Next, create an index.html file in the public directory and set the ID of the root element to 'root'. This will be the entry point of your app. Finally, run the app using npm start and deploy it using the Acorn CLI. Now you have your own Acorn project ready to be customized and deployed!

Uploading and Analyzing Images

To upload and analyze images in the app, follow these steps. First, click on the 'Upload Image' button and select an image file from your device. The image will be uploaded to the backend and saved in the public directory. Once the image is uploaded, you can ask questions about it by typing them in the input field and clicking the 'Ask Me' button. The app will send a request to the Open AI API with the image and question as parameters. The API will analyze the image and provide an answer to the question. The answer will be displayed in the app. If you want to clear the image and response, click on the 'Clear' button. That's how you can upload and analyze images in the app!

Conclusion

In this article, we have discussed how to build a full stack application that allows users to upload images and ask questions about them. We have covered the process of setting up the front end using React, creating the NodeJS backend, integrating the Open AI vision model, styling the app with CSS, and deploying the app using Acorn. We have also provided instructions on how to create a custom Acorn project and upload and analyze images in the app. Now it's your turn to build your own image analysis app and explore the possibilities!