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title: StarChat Playground
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emoji:
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colorFrom:
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sdk: gradio
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sdk_version: 5.
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app_file: app.py
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pinned: true
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license:
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---
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#
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Welcome to **
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- **Model Integration**: Easily integrate with popular models for intelligent responses.
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- **Real-Time Interaction**: Test your chatbots with real-time input and immediate feedback.
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- **Extendable**: Add your own features, customize behaviors, and experiment with different models and configurations.
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## Getting Started
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### Prerequisites
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Before getting started, make sure you have the following installed:
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- Python 3.7 or higher
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- Node.js (if applicable for frontend interactions)
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- A virtual environment for Python dependencies (optional but recommended)
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1.
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```
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- For the frontend (if applicable):
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```bash
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npm start # Or the corresponding command to run the frontend
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```
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6. **Access the Application**:
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Navigate to `http://localhost:5000` (or the URL specified) to interact with your chatbot.
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### Configuration
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If you want to customize the AI models or change settings, you can modify the configuration files. These are typically found in:
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- `config/`
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- `models/`
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- `settings.py`
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Ensure that any required API keys, model configurations, or environment variables are set in `.env` or within the project configuration files.
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Once set up, you can interact with your
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```bash
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# Test a basic interaction through the API
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curl -X POST http://localhost:5000/chat -d '{"message": "Hello, AI!"}' -H "Content-Type: application/json"
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```
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This will return a response from the AI model in the form of a chat message.
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We welcome contributions! If you have ideas for improvements, bug fixes, or additional features, please fork the repository and create a pull request.
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1. Fork the repository.
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2. Create a new branch (`git checkout -b feature-name`).
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4. Push to your fork (`git push origin feature-name`).
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5. Create a pull request with a detailed description of your changes.
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---
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title: StarChat Playground
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emoji: 🚀
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colorFrom: red
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colorTo: purple
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sdk: gradio
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sdk_version: 5.14.0
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app_file: app.py
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pinned: true
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license: apache-2.0
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---
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# CodeChat Playground
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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.
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### Features
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- **Customizable Chatbot:** Use advanced AI models to design and customize chatbot interactions.
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- **Model Integration:** Easily integrate with popular models for intelligent responses.
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- **Real-Time Interaction:** Test chatbots with real-time input and immediate feedback.
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- **Extendable:** Add custom features, modify behaviors, and experiment with different models and configurations.
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- **Security-Focused:** Best practices for API key management, input sanitization, and request validation.
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### Getting Started
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#### Prerequisites
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Before getting started, make sure you have the following installed:
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- Python 3.7 or higher
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- Node.js (if applicable for frontend interactions)
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- npm or yarn for managing dependencies
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- A virtual environment for Python dependencies (optional but recommended)
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#### Installation
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1. Clone the repository:
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```bash
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git clone https://github.com/<your-username>/codechat-playground.git
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cd codechat-playground
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```
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2. Set up Python Environment:
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It's recommended to use a virtual environment for Python projects.
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```bash
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python3 -m venv env
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source env/bin/activate # For Linux/MacOS
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env\Scripts\activate # For Windows
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```
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3. Install Python Dependencies:
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```bash
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pip install -r requirements.txt
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```
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4. Install Frontend Dependencies (if applicable):
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If there are frontend components in your project (e.g., React, Vue.js), run:
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```bash
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npm install
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```
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or
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```bash
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yarn install
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```
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5. Run the Application:
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- For the backend (Python server):
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```bash
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python app.py # Or the appropriate command to start your app
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```
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- For the frontend (if applicable):
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```bash
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npm start # Or the corresponding command to run the frontend
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```
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6. Access the Application:
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Navigate to `http://localhost:5000` (or the URL specified) to interact with your chatbot.
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### Configuration
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If you want to customize the AI models or change settings, you can modify the configuration files. These are typically found in:
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- `config/`
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- `models/`
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- `settings.py`
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Ensure that any required API keys, model configurations, or environment variables are set in `.env` or within the project configuration files.
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### Usage
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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.
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#### Example Usage
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To test a basic interaction through the API:
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```bash
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curl -X POST http://localhost:5000/chat -d '{"message": "Hello, AI!"}' -H "Content-Type: application/json"
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```
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This will return a response from the AI model in the form of a chat message.
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### Security Best Practices
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Since this project involves AI-driven chat interactions, security considerations are critical:
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- **Input Validation:** Prevent prompt injection attacks by sanitizing and filtering user input.
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- **Rate Limiting:** Implement request rate limiting to prevent abuse.
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- **API Key Management:** Store API keys in a `.env` file and never expose them in code.
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- **Logging & Monitoring:** Keep track of requests and responses to detect anomalies.
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### Contributing
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We welcome contributions! If you have ideas for improvements, bug fixes, or additional features, please fork the repository and create a pull request.
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#### How to Contribute
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1. Fork the repository.
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2. Create a new branch (`git checkout -b feature-name`).
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4. Push to your fork (`git push origin feature-name`).
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5. Create a pull request with a detailed description of your changes.
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### License
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This project is licensed under the Apache 2.0 License - see the LICENSE file for details.
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---
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