In a recent tutorial, I took you through the basics of creating a chat app where you could ask a question and then receive an answer using the ChatGPT from OpenAI. That tutorial covered basic HTTP post requests and responses and included the structs that allowed a request to be encoded and a response to be decoded. It also had a simple view that allowed you to enter your API key from OpenAI and a TextField to ask a question.

In this tutorial, we will take this in the direction of a note-taking app for meetings with ChatGPT integration. The app will allow you to take notes and then have ChatGPT to do several things, such as extract action points, summarise lengthy notes, extract dates and times and put them into a bullet list. With AI, there are many options. I’ve only touched on a tiny amount of them here.

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In the last tutorial, we looked at ChatGPT chat conversations and added a simple user interface to a SwiftUI app. Today we will look at integrating DALL-E into your SwiftUI app, using the image generations endpoint that allows you to provide a prompt and generate one to ten images. The app will be similar to what was created yesterday. The difference is that instead of receiving an answer in text form, we’ll receive it as a URL that can then be processed to display on the view.

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In the past year, ChatGPT has brought AI to the limelight. ChatGPT 3 was the model in use when I first heard of it last year. Just like it did with me, It has captured the interest of many people and businesses.

ChatGPT can be used for many things, such as finding answers to daily questions, solving maths problems, writing blog posts, and writing code, to name a few.

In this tutorial, we’ll connect a SwiftUI app to OpenAI’s ChatGPT API to provide a chatbot for your mobile app. The tutorial will briefly cover how to create a simple user interface and connect to OpenAI’s API to receive answers to questions you ask within the app.

The application here is just a chatbot, but you can use what you learn here to add value to any kind of app such as a note-taking app where a user can write some notes and then use AI to either add, summarise or correct what has been written.

OpenAI’s API is very similar to many other APIs on the internet in that you create an HTTP request, such as a POST request, add the bearer to the header, add items to the body, and then post it. The API then passes back a result that contains the answer you need.

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