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Client for Google's Gemini-1.5-Flash Generative AI Model

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GeminiFlash

GeminiFlash is a Node.js library that leverages a Rust backend for generating content using Google's Gemini-1.5-Flash Generative AI Model. This library is designed to be efficient and easy to use, thanks to the power of Rust and the simplicity of JavaScript.

Installation

To install the GeminiFlash library, you can use npm:

npm install gemini_flash

Usage

Here's a basic example of how to use the GeminiFlash library:

const GeminiFlash = require('gemini_flash');

const gemini_flash = new GeminiFlash('api-key-here');

(async () => {
    try {
        const prompt = "what is a computer?";
        const content = await gemini_flash.generate_content(prompt);
        console.log("Generated Content:", content.text);
    } catch (error) {
        console.error("Error:", error);
    }
})();

API

GeminiFlash

constructor(api_key)

Creates a new instance of the GeminiFlash class.

  • api_key: Your API key for the Gemini API.
generate_content(prompt)

Generates content based on the given prompt.

  • prompt: The prompt string to generate content for.

Returns: A Promise that resolves to an object containing the generated content.

Examples

Text-only input

const GeminiFlash = require('gemini_flash');

const gemini_flash = new GeminiFlash('your-api-key');

(async () => {
    try {
        const prompt = "Explain the concept of artificial intelligence.";
        const content = await gemini_flash.generate_content(prompt);
        console.log("Generated Content:", content.text);
    } catch (error) {
        console.error("Error:", error);
    }
})();

Text-and-Image Input

const fs = require('fs').promises;
const GeminiFlash = require('gemini_flash');

const gemini_flash = new GeminiFlash('your-api-key');

async function imageToBase64(imagePath) {
    try {
        const imageBuffer = await fs.readFile(imagePath);
        const base64Image = imageBuffer.toString('base64');
        return base64Image;
    } catch (err) {
        console.error("Error reading the image file:", err);
        throw err;
    }
}

(async () => {
    try {
        const prompt = "Explain this image";
        const imagePath = './image.jpeg';
        const base64String = await imageToBase64(imagePath);
        const content = await gemini_flash.image_search(prompt, base64String);
        console.log("Generated Content:", content.text);
    } catch (error) {
        console.error("Error:", error);
    }
})();

Development

Prerequisites

Building the Project

To build the project, run:

npm run build

Running Tests

To run the tests, use:

npm test

Additional Build Scripts

  • Debug build: npm run debug
  • Release build: npm run build
  • Cross build: npm run cross

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue if you find a bug or have a feature request.

License

This project is licensed under the MIT License - see the LICENSE file for details.