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🎉 pydantic-ai-backend - Easy Python Execution in Docker

🚀 Getting Started

Welcome to the pydantic-ai-backend repository! This software helps you run Python code in safe, isolated environments using Docker. It’s designed to support multi-user access, making it perfect for teams or collaborative projects.

📦 Download & Install

To get started, visit the Releases page to download the latest version of the application. Follow the instructions below to install it on your computer.

🛠️ System Requirements

• Operating System: Windows 10 or later, macOS, or a recent version of Linux
• Docker: Make sure you have Docker installed. You can download it from Docker’s official website.
• Memory: At least 4GB of RAM
• Storage: Minimum of 1GB of free disk space

📥 Installation Steps

1. Visit the Releases Page Go to the Releases page where you will find the latest version available for download.

2. Download the Application Click on the link corresponding to your operating system. Once the download is complete, locate the downloaded file on your computer.

3. Install Docker (if not already installed) If Docker is not installed, follow the instructions on the Docker website to set it up on your system.

4. Run the Application
   • Open your terminal (Command Prompt for Windows or Terminal for macOS/Linux).
   • Navigate to the folder where you downloaded the application. For example, if it’s in your Downloads folder, use:
     • Windows: cd Downloads
     • macOS/Linux: cd ~/Downloads
   • Run the command:

     docker-compose up
     

5. Access the Application Open your web browser and go to http://localhost:8000. You will see the pydantic-ai-backend interface where you can start running Python code.

⚙️ Features

• Multi-User Support: Allows different users to run code in separate Docker containers.
• Isolated Environments: Each session runs independently, ensuring safety and resource management.
• Easy Configuration: Simple YAML files to set up your environment and parameters.
• Customizable Sessions: Easily modify Python versions and libraries for unique project needs.

📜 Usage

• After accessing the application, you will see options to create new sessions for your coding tasks.
• Choose the Python version that you need.
• Enter your Python code in the provided space.
• Click “Run” to execute your code.

All outputs will appear in the dedicated output section, allowing you to easily view results and debug your code.

🛡️ Security

Using Docker provides an added layer of security by isolating applications from your primary operating system. This means you can run unknown code safely without affecting your main environment.

📋 Troubleshooting

1. Docker Not Running: Ensure that Docker is running on your machine. Open Docker Desktop and make sure it shows as running.

2. Access Errors: If you cannot access the application in your browser, verify that you are navigating to http://localhost:8000 and that there are no firewall settings blocking access.

3. Session Errors: Check your Docker settings to ensure there is enough allocated memory. Each session will use some of your system resources.

💬 Community and Support

If you have questions or need assistance, please refer to the GitHub Issues page for community support. You can also report bugs or request new features there.

To stay updated and provide feedback, please consider following this project on GitHub. We value your input and would love to hear from you!

🚪 Next Steps

1. Download the latest version from the Releases page.
2. Follow the installation instructions to get everything set up.
3. Start coding and enjoy running your Python projects securely!

Feel free to explore the features and capabilities of pydantic-ai-backend and unleash the power of AI with Python!