This repository provides a Python Flask application to quickly integrate Google's Gemini API, enabling developers to leverage its multi-modal capabilities. It's targeted at developers seeking a rapid entry point into building AI-powered applications with a functional UI and backend.

How It Works

The project utilizes the Google AI Python SDK to interact with the Gemini API. It sets up a Flask web server that handles user requests, sends them to the Gemini model (e.g., gemini-2.0-flash), and returns the generated text. The application includes a basic UI for user interaction and demonstrates how to manage chat history.

Quick Start & Requirements

• Install dependencies: pip install -r requirements.txt
• Run the app: flask run
• Requires Python and a Gemini API key.
• Access the app at http://localhost:5000.
• Official documentation: Google AI Gemini API

Highlighted Details

• Demonstrates basic API request flow with genai.Client.
• Includes a Flask backend and a simple UI for interaction.
• Shows how to send messages and retrieve chat history.

Maintenance & Community

This is an official Google quickstart repository. Further community engagement and roadmap details would typically be found on broader Google AI developer platforms.

Licensing & Compatibility

The repository's license is not specified in the provided README. Compatibility for commercial use or closed-source linking would depend on the underlying Gemini API terms of service and any specific license applied to this repository's code.

Limitations & Caveats

The application is presented as a basic quickstart and may not cover advanced error handling, scalability, or complex multi-modal input scenarios. The specific Gemini model used (gemini-2.0-flash) might have performance or capability differences compared to other available Gemini models.