Update README.md

README.md

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-# 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.
-
-![img](https://github.com/arham-kk/gemini-demo/assets/108623726/d88a8c82-4fcc-45fd-aea3-4a6a88787200)
-
-## Prerequisites
-
-Before running the code, ensure you have the necessary dependencies installed. You can install them using the following command:
-
-```bash
-pip install -r requirements.txt
-```
-
-Make sure to obtain your own Google API key by visiting [GOOGLE API KEY](https://makersuite.google.com/app/apikey) 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.
+colorFrom: yellow
+colorTo: purple
+sdk: gradio
+sdk_version: 5.12.0
+app_file: app.py
+pinned: false
+license: apache-2.0