Python Cloud Flow

Py_Cloud_Flow is a versatile Python script that empowers users to seamlessly upload files to various cloud storage services, including Google Drive, Dropbox, Box.com, pCloud, and Amazon S3. The script offers a modern graphical user interface (GUI) built using the tkinter library, making it convenient and user-friendly for both beginners and experienced users.

PyCloudFlow

PyCloudFlow Automated

Features

• Fully Automatic: Python_Cloud_Flow is now a fully automatic application. Users only need to select files, and the program automatically applies file classification and uploads the files to the appropriate cloud service.
• Multi-Cloud Support: Upload files to a variety of popular cloud storage platforms from a single interface.
• Interactive GUI: The script offers an interactive GUI that simplifies the process of selecting and uploading files.
• Real-Time Feedback: Monitor the upload progress and receive instant feedback on uploaded file details.
• Effortless Setup: A well-organized structure and clear configuration instructions facilitate seamless setup and usage.

Prerequisites

Before using Python_Cloud_Flow, ensure that you have the following prerequisites:

• Python 3.x: Make sure you have a Python interpreter installed on your machine.

• Required Libraries: Install the necessary Python libraries using the following command:

  pip install google-api-python-client boto3 dropbox requests boxsdk tk
  

Usage

1. Clone the Repository:

   git clone https://github.com/Alok-2002/Python_Cloud_Flow.git
   cd Python_Cloud_Flow

2. Configure Credentials:

   Replace placeholders in the script with your API keys, tokens, and folder IDs. Refer to comments in the script for guidance on where to make these replacements.

3. Run the Script:

   python PyCloudFlow.py

4. Using the GUI:

   • Browse and select files for upload.
   • The automatic classification process will determine the appropriate cloud service based on the file's characteristics.
   • The upload process will be initiated automatically based on the classification.
   • Monitor the GUI for real-time feedback on uploaded files.

Advanced Configuration

• Customization: Modify the script's appearance, add more cloud services, or enhance error handling to tailor it to your needs.
• Enhanced Security: Store your sensitive information, such as API keys and tokens, in environment variables for added security.
• Automate Tasks: Integrate the script with automation tools like cron or Windows Task Scheduler for scheduled uploads.

Troubleshooting

• API Quotas: Ensure that your cloud service accounts have sufficient API quotas to accommodate uploads.
• Dependencies: Verify that all required libraries are installed using the correct version of Python.
• API Keys and Tokens: Double-check the accuracy of your API keys, tokens, and other credentials.

Contributions

Contributions to this project are highly encouraged. If you encounter issues, have suggestions, or want to add new features, please open an issue or submit a pull request.

Copyright

This project is the original work of Alok Sharma If you use or modify this project, you are required to give proper credit by providing a link to the original repository.

License

This project is licensed under the MIT License. See the LICENSE file for details.