Flutter With Gemini AI

Introduction

Flutter 3.19.3 is live now. The Google AI Dart SDK has made Flutter programming even more fascinating. This official offering from Google brings the power of cutting-edge generative AI models like Gemini directly to your Flutter and Dart applications, opening up a universe of creative possibilities. Whether you want to improve user experiences, automate processes, or add AI magic to your projects.

Google Gemini is a set of cutting-edge large language models (LLMs) designed to be the driving force behind Google's future AI initiatives.

The new pub.dev package google_gemini and supporting resources enable you to build your generative AI-based features into Dart and Flutter apps through an idiomatic Dart integration with the Gemini API. It opens the door to a vast range of possibilities for building intelligent, performant applications for Android, iOS, web, macOS, Windows, and Linux from a single code base.

What can you develop?

Gemini API can help you develop various applications. For instance,

• Summarise lengthy texts and capture their key points.
• Build smart chatbots that resemble human conversations
• A visual search engine that allows users to upload pictures and receive descriptions
• And many more

With the Google AI Dart SDK, you can

1. Easily integrate generative AI features:

   Add advanced text generation, summarization, chat, and more to your Dart or Flutter apps with minimal setup.

2. Tap into Google’s most capable and general model yet:

   The Gemini model draws on Google’s extensive research and development in machine learning, giving you access to generative AI capabilities that will continue to improve.

3. Accelerate your AI-powered app development:

   Focus on your app logic and user experience, while the SDK handles the intricacies of interacting with AI models.

4. Build cross-platform AI-powered apps:

   Easily create generative AI features across desktop, web, and mobile applications using Flutter.

5. Use the Gemini API in more than 180+ countries and territories:

   Check the available regions for the most current list of countries and regions where the Gemini API and Google AI Studio (described further below) are available.

What can you build?

We believe generative AI holds immense potential to help you achieve your app and business goals. And since the Gemini model is multimodal (it’s capable of processing information from multiple modalities, including images and text), it empowers you to be extremely creative. However, the first question we often get from app developers — and even from within our own team — is “What can I actually do with the Gemini API?” Here are a few examples of features you might create for your Dart or Flutter app:

• Text summarization: Generate concise summaries of long articles, research papers, or website content from textual input.
• Smart chatbots: Build more engaging and human-like conversational interfaces, enhancing user experience in your applications.
• Visual search engine: Users can upload an image, and the app uses the Gemini API to return descriptions of what’s in the image, the style, and perhaps even how to make what’s in the image.
• Image descriptions for accessibility: Generate detailed text descriptions of uploaded images to aid users who are visually impaired.
• Diagram & chart interpretation: Users can upload images of diagrams, charts, or graphs, and the Gemini API delivers a text-based analysis and explanation of the data.

Unlock possibilities with Flutter & Gemini AI

• 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 www.gemini.com.

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

1. Get a Gemini API key from Google AI Studio. Keep this key secure. We strongly recommend that you do not include the key directly in your code, or check files that contain the key into version control systems. While developing, we recommend using flutter run -d [DEVICE NAME] — dart-define=API_KEY=[YOUR API KEY] to run the app in an emulator/simulator, using your API key as an environment variable.
2. Add the Google AI Dart SDK to your Dart or Flutter app by running dart pub add google_gemini or flutter pub add google_gemini, respectively. This adds google_gemini as a dependency to your `pubspec.yaml` file.

3. Initialize the generative model in your code:

     
       // Create Gemini Instance
       
       final gemini = GoogleGemini(
           apiKey: "AIzaSyDq0rB8onH3tF5RrKXF2IVmNNQmrJyRSPk",
       );
       

4. You can now start to explore using the Gemini API to implement different use cases. For example, when the prompt input includes both text and images, use the gemini-pro-vision model and the generateContent method to generate text output:

1. Only Text

  
    void fromText({required String query}) {
        setState(() {
            loading = true;
            textChat.add({
                "role": "User",
                "text": query,
            });
            _textController.clear();
        });
        scrollToTheEnd();

        gemini.generateFromText(query).then((value) {
            setState(() {
                loading = false;
                textChat.add({
                    "role": "Gemini",
                    "text": value.text,
                });
            });
            scrollToTheEnd();
        }).onError((error, stackTrace) {
            setState(() {
                loading = false;
                textChat.add({
                    "role": "Gemini",
                    "text": "Please try again...",
                });
            });
            scrollToTheEnd();
        });
    }
        

2. Text with image

    void fromTextAndImage({required String query, required File image}) {
        setState(() {
            loading = true;
            textAndImageChat.add({
                "role": "User",
                "text": query,
                "image": image,
            });
            _textController.clear();
            imageFile = null;
        });
        scrollToTheEnd();
        
        gemini.generateFromTextAndImages(query: query, image: image).then((value) {
            setState(() {
                loading = false;
                textAndImageChat
                    .add({"role": "Gemini", "text": value.text, "image": ""});
            });
            scrollToTheEnd();
        }).onError((error, stackTrace) {
            setState(() {
                loading = false;
                textAndImageChat
                    .add({"role": "Gemini", "text": error.toString(), "image": ""});
            });
            scrollToTheEnd();
        });
    }
        

Benefits of using the Flutter Gemini package

1. Easy Integration:

   The Flutter Gemini package provides a simple and straightforward API for interacting with the Gemini AI API.

   It handles authentication, request formatting, and response parsing, making it easy to integrate Gemini AI into your Flutter app.

2. Improved Developer Experience:

   The package is well-documented and provides clear examples, making it easy for developers to get started.

   It eliminates the need for manually handling HTTP requests and parsing JSON responses, which can save time and reduce errors.

3. Enhanced App Functionality:

   Gemini AI offers a wide range of AI-powered services, such as language translation, text summarization, and sentiment analysis.

   By integrating the Flutter Gemini package, you can easily add these capabilities to your app, enhancing its functionality and user experience.

4. Cross-Platform Compatibility:

   Flutter is a cross-platform framework that allows you to build apps for both iOS and Android. The Flutter Gemini package is also cross-platform, so you can use it to add Gemini AI functionality to your apps regardless of the target platform.

5. Reduced Time to Market:

   The ease of integration and use of the Flutter Gemini package can significantly reduce the time it takes to add AI capabilities to your app.

   This can help you get your app to market faster and stay ahead of the competition.

6. Access to Advanced AI Services:

   Gemini AI provides access to advanced AI services that are not easily accessible through other means.

   By using the Flutter Gemini package, you can leverage these services to create innovative and intelligent apps.

   Overall, the Flutter Gemini package provides a convenient and efficient way to integrate Gemini AI into your Flutter apps, enhancing their functionality, improving the developer experience, and reducing time to market.

A look at how our developers make

Conclusion

In this article, we discussed the google_gemini package, an exciting tool for Flutter developers. The use of generative AI models in your apps can unlock new levels of creativity, automation, and engagement for users. In the next upcoming article, I will use google_gemini to build a sample application. Thank you for reading this article.

FAQ