Gemini Playground 💬

Overview

Gemini Playground is an interactive Python application that leverages Google Generative AI and Gradio to provide a platform for experimenting with Gemini Pro and Gemini Pro Vision models. Users can engage in dynamic conversations with the chatbot, utilizing text and image prompts to generate creative and context-aware responses.

Prerequisites

Before running the code, ensure you have the necessary dependencies installed. You can install them using the following command:

pip install -r requirements.txt

Make sure to obtain your own Google API key by visiting GOOGLE API KEY and follow the instructions.

Usage

1. Set up your Google API key by entering it in the GOOGLE API KEY textbox.
2. Optionally provide an image prompt to explore the capabilities of Gemini Pro Vision.
3. Input your text prompt in the Ask me anything and press Enter textbox.
4. Adjust various parameters such as temperature, token limit, stop sequences, top-K, and top-P to tailor the model's behavior.
5. Click the "Run" button to initiate the conversation.

Features

• Gemini Pro and Gemini Pro Vision: Choose between text-only (Gemini Pro) or text and image prompts (Gemini Pro Vision).
• Interactive Chat Interface: Engage in dynamic conversations with the chatbot using Gradio's intuitive chat interface.
• Flexible Parameter Adjustment: Fine-tune model behavior with adjustable parameters like temperature, token limit, and more.

Parameters

• GOOGLE API KEY: Your personal Google API key for accessing the Generative AI models.
• Image: Optional image prompt for Gemini Pro Vision.
• Temperature: Controls the randomness of the generated content. Higher values lead to more creative responses.
• Token Limit: Limit the length of the generated content in tokens.
• Stop Sequences: Specify stop sequences to control the generation process.
• Top-K: Control the diversity of the output by selecting from the top-K most likely tokens.
• Top-P: Control the diversity of the output by selecting tokens with cumulative probabilities up to the top-P threshold.

Important Note

Ensure you a valid Google API key to use the Gemini Pro and Gemini Pro Vision models.