
Building an AI Image Generator with Chat GPT using Microsoft Azure
In this tutorial, I will be sharing my collaboration with Microsoft to create an AI image generator with chat GPT. We will be using Microsoft Azure and Microsoft storage containers to power this project. I am excited to give away the source code for free, so make sure to check it out!
Project Overview
Welcome to our blog post about our exciting new project! In this section, we will provide you with an overview of our project, including the technologies we used and the features it offers.
Technologies Used
Our project is built using Next.js 13.2 and TypeScript, which allows for seamless server-side rendering and easy scalability. We chose Next.js because it provides excellent performance and optimization right out of the box, enabling us to deliver a highly responsive user experience.
In addition to Next.js, we utilized Microsoft Azure for its powerful cloud functions and storage services. Azure offers a wide range of tools and services that allowed us to seamlessly integrate our project with the cloud. This integration enables us to easily manage and scale our application as our user base grows.
Main Features
One of the standout features of our project is the AI image generator, powered by Dali 2. This cutting-edge technology leverages the power of artificial intelligence to generate stunning and realistic images. Whether you need high-quality visuals for your website or social media, our AI image generator has you covered.
Another noteworthy feature is the integration of chat GPT, a natural language processing model. With chat GPT, you can receive helpful suggestions and recommendations in real-time. This feature enhances user interaction and makes navigating our application a breeze.
Introduction
Welcome to the first blog post in our series on setting up your project. In this tutorial, we will guide you through the process of setting up the project and installing the necessary tools. We understand that there may have been some issues with the template, but fear not! We will show you how to set it up manually and even add Tailwind CSS to make your project shine. Let's dive right in!
Setting Up the Project Manually
Before we proceed with the installation of tools, it's important to address any issues with the template. Sometimes, templates might not work as expected out of the box. However, setting up the project manually can give you greater control and flexibility.
To set up the project manually, start by creating a new directory on your computer. Open your preferred code editor and navigate to the newly created directory. Next, you need to create the necessary files and folders for your project.
Common files and folders you may want to include are:
index.html: This will be the main HTML file for your project.css/: This folder will contain your CSS files.js/: This folder will contain your JavaScript files.images/: This folder will contain your image files.
Once you have set up the basic file structure, you can start adding the required code to your HTML file. Remember to link your CSS and JavaScript files using the and
In this code snippet, we use the useSWR hook from the SWR library to fetch the image data from the '/api/images' API endpoint. We then handle any errors and display the images in an unordered list.
By implementing an HTML form event, creating a submit prompt function, and using the SWR library to display images, we have successfully achieved our goal in this section. Users can now enter prompts, submit them, and see the generated images in a frontend component.
Deploying the App with Azure Functions
Welcome back to our blog series on building and deploying applications with Azure Functions! In this post, we will dive into the process of deploying our app using Azure Functions and the Cell CLI. But before we proceed, let's quickly recap what we have covered so far.
In the previous posts, we discussed how to develop our application using Next.js 13.2 and explored its new features. We also talked about the scalability of our app and its potential to serve millions of users. Now, it's time to take our app to the next level and bring it to life by deploying it with Azure Functions!
The Power of Azure Functions
Azure Functions is a serverless compute service that allows us to run code in the cloud without worrying about infrastructure management. It provides us with a scalable and cost-effective solution for deploying our application. When combined with the Cell CLI, deploying our app becomes a breeze!
First, we need to make sure our Azure Functions environment is set up correctly. We can easily do this by uploading our environment variables to Azure Functions. These variables contain important configuration details such as database connection strings and API keys. By uploading them to Azure Functions, we can securely store and access them during the app deployment process.
Uploading Environment Variables to Azure Functions
To upload our environment variables to Azure Functions, we can use the Azure portal or the Azure CLI. Let's go with the Azure portal for simplicity.
- Go to the Azure portal and navigate to your Azure Functions resource.
- Under the "Settings" section, click on "Configuration".
- Click on "New application setting" and enter the name and value of each environment variable.
- Click "OK" to save the environment variable.
- Repeat steps 3-4 for each environment variable.
- Once all the environment variables are uploaded, our Azure Functions environment is ready!
Now that our environment is set up, let's deploy our app to the Cell using the Cell CLI.
Deploying the App to the Cell with the Cell CLI
The Cell CLI is a command-line tool provided by Cell that allows us to deploy our applications to the Cell platform. It provides us with an easy and efficient way to manage our deployments.
Here are the steps to deploy our app using the Cell CLI:
- Install the Cell CLI on your local machine if you haven't already.
- Navigate to your app's root directory in the command line.
- Run the command "
cell login" to authenticate with the Cell platform. - Run the command "
cell deploy" to deploy your app. - Follow the prompts to select the deployment options and confirm the deployment process.
- Wait for the deployment to complete. Once it's done, you will receive a deployment URL.
That's it! Our app is now deployed and ready to be accessed by users.
Conclusion
I am thrilled to announce the successful completion of our app, and I would like to express my gratitude for the tremendous support and valuable comments we have received from our audience. Building this app has been an incredible journey, and we are extremely proud of the end result.
One of the most exciting aspects of this project was our collaboration with Microsoft Azure. It was our first-ever partnership with such a renowned tech giant, and it has been a privilege to work alongside their team. The expertise and resources they brought to the table have been invaluable in enhancing the functionality and performance of our app. This collaboration has given us the opportunity to take our development skills to new heights and deliver a top-notch product to our audience.
The positive feedback and engagement from our audience have been truly inspiring. We are grateful for the continued support and the insightful comments we have received throughout this journey. Your feedback has played a crucial role in shaping our app, and we are thrilled to know that it has been helpful to many aspiring developers.
Moving forward, we are committed to the continued growth and improvement of our app. We aim to provide even more comprehensive and cutting-edge content to help our audience become better developers. We will continue to explore collaborations and partnerships that enable us to deliver the best possible learning experience.
In conclusion, I want to express my sincere gratitude to everyone who has watched and supported us. Your encouragement has been instrumental in making this project a success. We are excited about the future and the opportunities that lie ahead. Stay tuned for more exciting updates, tutorials, and collaborations. Thank you for being a part of our journey, and we look forward to seeing you in the next video!

Article by SightMeta
Published 21 Sep 2023