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This repository provides a web interface for running various Python scripts via a PHP backend. It enables users to input prompts or commands through a web form and execute them using Python scripts, such as ChatGPT, Bard, or other useful Python scripts for developers. The results are then displayed back on the web interface.

VolkanSah/Web-Interface-for-Running-Python-Scripts

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Web Interface for Running Python Scripts (local or public)

This repository provides a web interface for running various Python scripts via a PHP backend. It enables users to input prompts or commands through a web form and execute them using Python scripts, such as ChatGPT, Bard, or other useful Python scripts for developers. The results are then displayed back on the web interface.

Disclaimer

This project is provided as an example and should not be considered production-ready. It is important to thoroughly review and understand the code before deploying it in a production environment. The author of this project assumes no liability for any damages or issues that may arise from the use of this code.

Security Considerations

  • Validation: Implement robust input validation and sanitization to prevent potential security vulnerabilities.
  • Restricted File System Access: Limit the file system access permissions of the PHP backend to minimize potential risks.
  • API Key Security: Handle sensitive data, such as API keys, with care. Store them securely and avoid hardcoding them directly in the code. Consider using environment variables or a secure configuration mechanism.
  • Authorization: Implement appropriate authentication and authorization mechanisms to restrict access to the web interface and prevent unauthorized use.
  • Secure Deployment: Follow best practices for secure deployment, including the use of HTTPS, strong server configurations, and regular updates of dependencies.

Repository Structure

  • local_server.html: This HTML file contains the web interface for running Python scripts on a local server. Please note that this interface may not be secure for public deployment.
  • public_server.php: This PHP file contains the web interface for running Python scripts on a public server. Exercise caution when using this interface in a public environment and ensure that appropriate security measures are in place.
  • example.py: Replace this Python script with the specific Python script you want to run through the web interface.

Usage

  1. Set up a local or public server environment to host the web interface.
  2. Ensure that PHP is properly configured on your server.
  3. Place the local_server.html or public_server.php file in the appropriate server directory.
  4. Customize the PHP file (public_server.php) to execute the desired Python script and process the user inputs.
  5. Update the Python script (example.py) or replace it with your own script to handle the user inputs and generate the desired output.
  6. Test the web interface by accessing it through a web browser.
  7. Modify and secure the code as per your requirements before deploying it in a production environment.

Please note that this repository provides a basic foundation for running Python scripts through a web interface, and additional modifications and enhancements may be necessary to meet specific use cases or security requirements.

If you want it for ChatGPT please read: ChatGPT Security Best Practices!

Thanks

"Thank you! Your support is appreciated, and I would be grateful if you could share this project with others, giving a ⭐ to my projects, or
becoming a 'Sponsor'. Don't forget to follow me for more free ideas and updates!"

Copyright

License

This project is copyright © VolkanSah and is licensed under the MIT LICENSE. You are free to use, modify, and distribute the code and assets, as long as the copyright notice and permission notice are preserved in all copies or substantial portions of the software."

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This repository provides a web interface for running various Python scripts via a PHP backend. It enables users to input prompts or commands through a web form and execute them using Python scripts, such as ChatGPT, Bard, or other useful Python scripts for developers. The results are then displayed back on the web interface.

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