flutter_gemini 0.0.1-dev-2

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

Flutter Google Gemini

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

This package provides a powerful bridge between your Flutter application and Google's revolutionary Gemini AI. It empowers you to seamlessly integrate Gemini's capabilities into your app, unlocking possibilities for building innovative, intelligent, and engaging experiences that redefine user interaction.

Features

• Set up your API key scroll
• Initialize gemini scroll
• Content-based APIs scroll
  • Text-only input scroll
  • Text-and-image input scroll
• Gemini Candidates scroll
• Gemini Methods scroll

Getting started

To use the Gemini API, you'll need an API key. If you don't already have one, create a key in Google AI Studio. Get an API key.

Initialize Gemini

To initialize Gemini you must add an init factory in the main function.

void main() {

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

  runApp(const MyApp());
}

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Now you can create an instance

final gemini = Gemini.instance;

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Content-based APIs

Text-only input

This feature lets you perform natural language processing (NLP) tasks such as text completion and summarization.

  gemini.text("Write a story about a magic backpack.")
    .then((value) => print(value?.content?.parts?.last.text))
    .catchError((e) => print(e));

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Text-and-image input

If the input contains 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. For example, captioning an image or identifying what's in an image.

    final file = File('assets/img.png');
    gemini
        .textAndImageInput(
          text: "What is this picture?",
          image: file.readAsBytesSync(),
        )
        .then((value) => log(value?.content?.parts?.last.text ?? ''))
        .catchError((e) => log('textAndImageInput exception', error: e));

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Gemini Response

// In progress

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Gemini Methods

// In progress

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