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license: mit | |
sdk: gradio | |
colorFrom: red | |
pinned: true | |
sdk_version: 5.20.0 | |
colorTo: yellow | |
# 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. | |
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## 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. |