On the upcoming WWDC, Apple is anticipated to announce an on-device massive language mannequin (LLM). The subsequent model of the iOS SDK will probably make it simpler for builders to combine AI options into their apps. Whereas we await Apple’s debut of its personal Generative AI fashions, corporations like OpenAI and Google already present SDKs for iOS builders to include AI options into cell apps. On this tutorial, we’ll discover Google Gemini, previously often called Bard, and show the best way to use its API to construct a easy SwiftUI app.
We’re set to construct a Q&A app that makes use of the Gemini API. The app incorporates a simple UI with a textual content discipline for customers to enter their questions. Behind the scenes, we’ll ship the consumer’s query to Google Gemini to retrieve the reply.
Please notice that you must use Xcode 15 (or up) to comply with this tutorial.
Getting Began with Google Gemini APIs
Assuming that you just haven’t labored with Gemini, the very very first thing is to go as much as get an API key for utilizing the Gemini APIs. To create one, you may go as much as Google AI Studio and click on the Create API key button.
Utilizing Gemini APIs in Swift Apps
You must now have created the API key. We’ll use this in our Xcode undertaking. Open Xcode and create a brand new SwiftUI undertaking, which I’ll name GeminiDemo. To retailer the API key, create a property file named GeneratedAI-Data.plist. On this file, create a key named API_KEY and enter your API key as the worth.
To learn the API key from the property file, create one other Swift file named APIKey.swift. Add the next code to this file:
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enum APIKey { // Fetch the API key from `GenerativeAI-Data.plist` static var `default`: String {
guard let filePath = Bundle.most important.path(forResource: “GenerativeAI-Data”, ofType: “plist”) else { fatalError(“Could not discover file ‘GenerativeAI-Data.plist’.”) }
let plist = NSDictionary(contentsOfFile: filePath)
guard let worth = plist?.object(forKey: “API_KEY”) as? String else { fatalError(“Could not discover key ‘API_KEY’ in ‘GenerativeAI-Data.plist’.”) }
if worth.begins(with: “_”) { fatalError( “Comply with the directions at https://ai.google.dev/tutorials/setup to get an API key.” ) }
return worth } } |
In case you resolve to make use of a unique title for the property file as a substitute of the unique ‘GenerativeAI-Data.plist’, you have to to switch the code in your ‘APIKey.swift’ file. This modification is important as a result of the code references the precise filename when fetching the API key. So, any change within the property file title ought to be mirrored within the code to make sure the profitable retrieval of the API key.
Including the SDK Utilizing Swift Package deal
The Google Gemini SDK is well accessible as a Swift Package deal, making it easy so as to add to your Xcode undertaking. To do that, right-click the undertaking folder within the undertaking navigator and choose Add Package deal Dependencies. Within the dialog, enter the next bundle URL:
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https://github.com/google/generative-ai-swift |
You’ll be able to then click on on the Add Package deal button to obtain and incorporate the GoogleGenerativeAI bundle into the undertaking.
Constructing the App UI
Let’s begin with the UI. It’s simple, with solely a textual content discipline for consumer enter and a label to show responses from Google Gemini.
Open ContentView.swift and declare the next properties:
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@State personal var textInput = “” @State personal var response: LocalizedStringKey = “Hi there! How can I show you how to right now?”
@State personal var isThinking = false |
The textInput variable is used to seize consumer enter from the textual content discipline. The response variable shows the API’s returned response. Given the API’s response time, we embrace an isThinking variable to watch the standing and present animated results.
For the physique variable, change it with the next code to create the consumer interface:
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VStack(alignment: .main) {
ScrollView { VStack { Textual content(response) .font(.system(.title, design: .rounded, weight: .medium)) .opacity(isThinking ? 0.2 : 1.0) } } .contentMargins(.horizontal, 15, for: .scrollContent)
Spacer()
HStack {
TextField(“Kind your message right here”, textual content: $textInput) .textFieldStyle(.plain) .padding() .background(Coloration(.systemGray6)) .clipShape(RoundedRectangle(cornerRadius: 20))
} .padding(.horizontal) } |
The code is sort of simple, particularly if in case you have some expertise with SwiftUI. After making the modifications, it is best to see the next consumer interface within the preview.
Integrating with Google Gemini
Earlier than you should use the Google Gemini APIs, you first have to import the GoogleGenerativeAI module:
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import GoogleGenerativeAI |
Subsequent, declare a mannequin variable and initialize the Generative mannequin like this:
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let mannequin = GenerativeModel(title: “gemini-pro”, apiKey: APIKey.default) |
Right here, we make the most of the gemini-pro mannequin, which is particularly designed to generate textual content from textual content enter.
To ship the textual content to Google Gemini, let’s create a brand new perform known as sendMessage():
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func sendMessage() { response = “Considering…”
withAnimation(.easeInOut(period: 0.6).repeatForever(autoreverses: true)) { isThinking.toggle() }
Job { do { let generatedResponse = attempt await mannequin.generateContent(textInput)
guard let textual content = generatedResponse.textual content else { textInput = “Sorry, Gemini received some issues.nPlease attempt once more later.” return }
textInput = “” response = LocalizedStringKey(textual content)
isThinking.toggle() } catch { response = “One thing went fallacious!n(error.localizedDescription)“ } } } |
As you may see from the code above, you solely have to name the generateContent methodology of the mannequin to enter textual content and obtain the generated response. The result’s in Markdown format, so we use LocalizedStringKey to wrap the returned textual content.
To name the sendMessage() perform, replace the TextField view and fasten the onSubmit modifier to it:
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TextField(“Kind your message right here”, textual content: $textInput) .textFieldStyle(.plain) .padding() .background(Coloration(.systemGray6)) .clipShape(RoundedRectangle(cornerRadius: 20)) .onSubmit { sendMessage() } |
On this scenario, when the consumer finishes inputting the textual content and presses the return key, the sendMessage() perform known as to submit the textual content to Google Gemini.
That’s it! Now you can run the app in a simulator or execute it immediately within the preview to check the AI function.
Abstract
This tutorial exhibits the best way to combine Google Gemini AI right into a SwiftUI app. It solely requires a couple of strains of code to allow your app with Generative AI options. On this demo, we use the gemini-pro mannequin to generate textual content from text-only enter.
Nevertheless, the capabilities of Gemini AI usually are not simply restricted to text-based enter. Gemini additionally affords a multimodal mannequin named gemini-pro-vision that permits builders to enter each textual content and pictures. We encourage you to take full benefit of this tutorial by modifying the offered code and experimenting with it.
When you’ve got any questions in regards to the tutorial, please let me know by leaving a remark under.