Build Smarter, More Powerful Flutter App with Gemini AI

Flutter 3.19 is live now, and it's packed with several new features that make it easy and effective to develop modern mobile applications today. The world of mobile app development is constantly evolving, and developers are always on the lookout for ways to create more engaging, intelligent, and user-friendly experiences.

One of the latest features of Flutter 3.19 is that it integrates with Gemini AI. Gemini AI, Google’s largest generative AI model, and its perfect match with Flutter, the cross-platform UI framework. The integration of Gemini AI with Flutter App opens whole new world of possibilities.

Gemini AI: Google’s Largest Generative AI Model

Developed by Google DeepMind, Gemini AI is a collection of advanced LLMs with various capabilities. These models can understand, generate, and translate text, write creative content, and answer questions.

How Gemini AI works with Flutter

A Google AI Dart SDK makes it easy to integrate flutter App with Gemini AI. This convenient package provides seamless access to Gemini's capabilities and allows you to easily tap into its power within your Flutter app.

Unlock possibilities with Flutter & Gemini AI

Here's a glimpse into the exciting world Gemini opens for your Flutter app:

• Craft Intelligent Chatbots

  Build chatbots that go beyond scripted responses. Gemini AI can engage in natural conversations, answer questions, and even personalize interactions. Imagine a customer service chatbot that understands your needs and provides helpful solutions.

• Revolutionize Content Creation

  Generate unique product descriptions, blog posts, or even marketing copy within your app. Let Gemini handle the heavy lifting while you focus on the core functionality.

• Enhance Accessibility

  Offer text descriptions of images for visually impaired users, or translate content on the fly for a global audience. Gemini makes your app inclusive and accessible to everyone.

• Simplify Complex Tasks

  Summarize lengthy articles, analyze data, or extract key information from text. Gemini helps users navigate complex information with ease.

• Boost User Engagement

  Personalize the user experience with AI-powered recommendations, content suggestions, and adaptive interfaces. Keep users hooked and coming back for more.

• Navigate the Language Barrier

  Break down language barriers with seamless translation capabilities. Offer your app in multiple languages without the hassle of manual translation, making it accessible to a wider audience.

Getting Started with Gemini API

Integration of Flutter App with Gemini AI is possible by using Gemini API and its package in Dart. You will need an API key to access the Gemini API in your Flutter app. If you don't have an account with Gemini, you can sign up for a free Gemini account at https://ai.google.dev/.

Once you have a Gemini account, you can create a key in Google AI Studio to obtain your Gemini API key.

Initialize Gemini AI

To initialize Flutter Gemini, you need to run the constructor in the main function of your Flutter App.

void main() {
  /// Add this line
  Gemini.init(apiKey: '--- Your Gemini Api Key ---');

  runApp(const MyApp());
}

After successful initialization, you can create an instance of the Gemini class to interact with the API. This instance allows you to call various methods for different functionalities offered by the Gemini library.

Gemini API provides multiple views to generate results in various formats, such as text-only, text-and-image-based responses, and more. This is called content-based Gemini APIs.

There are several content-based APIs available in Gemini AI. Here, we will explore three of the content-based APIs and examine what the output Flutter Apps produce after being integrated with Gemini API.

Text-Based Prompts

Use this API to generate text based on a prompt:

class GeneratePromptWithTextBloc
    extends Bloc<GeneratePromptWithTextEvent, GeneratePromptWithTextState> {
  GeneratePromptWithTextBloc() : super(GeneratePromptWithTextInitial()) {
    on<GeneratePromptWithText>(_generatePromptWithText);
  }

  FutureOr<void> _generatePromptWithText(GeneratePromptWithText event,
      Emitter<GeneratePromptWithTextState> emit) async {
    emit(GeneratePromptWithTextLoading());
    await Gemini.instance
        .text(event.token)
        .then((value) => emit(GeneratePromptWithTextSuccess(
            event.token, value?.content?.parts?[0].text ?? '')))
        .onError((error, stackTrace) =>
            emit(GeneratePromptWithTextFailure(error.toString())));
  }
}

This code snippet demonstrates a simple Bloc implementation in Flutter to generate text prompts using the Gemini API.

Text-and-Image Based Prompt

If the input includes both text and image, you can send a text prompt with an image to the Gemini Pro Vision model to perform a vision-related task such as identifying what's in the image or captioning it.

class GeneratePromptWithTextAndImageBloc extends Bloc<
    GeneratePromptWithTextAndImageEvent, GeneratePromptWithTextAndImageState> {
  GeneratePromptWithTextAndImageBloc()
      : super(GeneratePromptWithTextAndImageInitial()) {
    on<GeneratePromptWithTextAndImage>(_generatePromptWithTextAndImage);
  }

  FutureOr<void> _generatePromptWithTextAndImage(
      GeneratePromptWithTextAndImage event,
      Emitter<GeneratePromptWithTextAndImageState> emit) async {
    emit(GeneratePromptWithTextAndImageLoading());
    await Gemini.instance
        .textAndImage(
            text: event.token,
            images: event.image.map((e) => e.readAsBytesSync()).toList())
        .then((value) => emit(GeneratePromptWithTextAndImageSuccess(
            event.token, value?.content?.parts?[0].text ?? '', event.image)))
        .onError((error, stackTrace) =>
            emit(GeneratePromptWithTextAndImageFailure(error.toString())));
  }
}

This code snippet offers a basic implementation for text prompt generation using Gemini API, considering both text and image inputs, within a Flutter application using the Bloc state management pattern.

Multi-turn conversations (chat)

Unlike traditional AI systems that only respond to single prompts, Gemini AI excels at multi-turn conversations. This means you can have an extended back-and-forth dialogue with Gemini, similar to how you would chat with another person.

class ConversationBloc extends Bloc<ConversationEvent, ConversationState> {
  ConversationBloc() : super(ConversationInitial()) {
    on<Conversation>(_conversation);
  }

  final List<Content> contents = [];

  FutureOr<void> _conversation(
      Conversation event, Emitter<ConversationState> emit) async {
    emit(ConversationLoading());
    Gemini.enableDebugging = true;
    contents.add(Content(parts: [Parts(text: event.message)], role: "user"));
    await Gemini.instance.chat(contents).onError((error, stackTrace) {
      contents.removeLast();
      emit(ConversationFailure(error.toString()));
      return null;
    }).then((value) {
      if (value != null) {
        contents.add(
            Content(parts: [Parts(text: value.output ?? '')], role: "model"));
        emit(ConversationSuccess(contents));
      }
    });
  }
}

This code snippet demonstrates a Bloc-based approach to managing conversations with Gemini AI in a Flutter application. It handles user input, interacts with the Gemini AI model, and updates the conversation state accordingly.

You can utilize this code to effectively integrate Gemini API into your Flutter application.

Hire Flutter Experts From CodeTrade

The future of Flutter app development is undoubtedly intertwined with the advancements in AI. As Gemini continues to evolve, we can expect even more innovative and personalized app experiences to emerge. If you're building Flutter apps, embracing the potential of Gemini AI will place your developments at the cutting edge of mobile technology.

Integrating Flutter App with Gemini AI can be highly beneficial for you. To ensure effective integration, you can hire dedicated Flutter developers from CodeTrade. CodeTrade is one of the fastest-growing mobile app development company in India. Our highly qualified and experienced developers are readily available to assist you with your Flutter project. Don't wait any longer, contact us now and receive a free consultation for your mobile app development project.