metadata

title: StarChat Playground
emoji: 🚀
colorFrom: red
colorTo: purple
sdk: gradio
sdk_version: 5.15.0
app_file: app.py
pinned: true
license: apache-2.0

CodeChat Playground

Welcome to CodeChat Playground, a platform to explore, test, and deploy chat-based applications using cutting-edge AI models. This project provides an environment for rapid experimentation with conversational AI, built to foster innovation and enable developers to create interactive chatbots with ease.

Features

Customizable Chatbot: Use advanced AI models to design and customize chatbot interactions.
Model Integration: Easily integrate with popular models for intelligent responses.
Real-Time Interaction: Test chatbots with real-time input and immediate feedback.
Extendable: Add custom features, modify behaviors, and experiment with different models and configurations.
Security-Focused: Best practices for API key management, input sanitization, and request validation.

Getting Started

Prerequisites

Before getting started, make sure you have the following installed:

Python 3.7 or higher
Node.js (if applicable for frontend interactions)
npm or yarn for managing dependencies
A virtual environment for Python dependencies (optional but recommended)

Installation

Clone the repository:

git clone https://github.com/<your-username>/codechat-playground.git
cd codechat-playground

Set up Python Environment: It's recommended to use a virtual environment for Python projects.

python3 -m venv env
source env/bin/activate  # For Linux/MacOS
env\Scripts\activate     # For Windows

Install Python Dependencies:
```
pip install -r requirements.txt
```
Install Frontend Dependencies (if applicable): If there are frontend components in your project (e.g., React, Vue.js), run:
```
npm install
```
or
```
yarn install
```

Run the Application:

For the backend (Python server):

python app.py  # Or the appropriate command to start your app

For the frontend (if applicable):

npm start  # Or the corresponding command to run the frontend

Access the Application: Navigate to http://localhost:5000 (or the URL specified) to interact with your chatbot.

Configuration

If you want to customize the AI models or change settings, you can modify the configuration files. These are typically found in:

config/
models/
settings.py

Ensure that any required API keys, model configurations, or environment variables are set in .env or within the project configuration files.

Usage

Once set up, you can interact with your CodeChat Playground app via the web interface or API (depending on the app’s setup). Test different configurations of chat models, tune their behavior, and experiment with various user inputs.

Example Usage

To test a basic interaction through the API:

curl -X POST http://localhost:5000/chat -d '{"message": "Hello, AI!"}' -H "Content-Type: application/json"

This will return a response from the AI model in the form of a chat message.

Security Best Practices

Since this project involves AI-driven chat interactions, security considerations are critical:

Input Validation: Prevent prompt injection attacks by sanitizing and filtering user input.
Rate Limiting: Implement request rate limiting to prevent abuse.
API Key Management: Store API keys in a .env file and never expose them in code.
Logging & Monitoring: Keep track of requests and responses to detect anomalies.

Contributing

We welcome contributions! If you have ideas for improvements, bug fixes, or additional features, please fork the repository and create a pull request.

How to Contribute

Fork the repository.
Create a new branch (git checkout -b feature-name).
Make your changes and commit them (git commit -am 'Add feature').
Push to your fork (git push origin feature-name).
Create a pull request with a detailed description of your changes.

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.