#1 Setup: Building Modern GUIs using Python | Full Course | 2025

Key Concepts

• Python GUI creation
• PI visual library
• Project setup (PyCharm, virtual environment)
• PI visual account registration and login
• Project naming and saving
• Local folder linking (autosync)
• UI customization (window size, background color, images)
• Code generation (app.py, UI.py, UI_page_x.py)
• UI element handling (buttons, input text, etc.)
• Asset management (images, fonts)

Project Setup with PI visual

1. Creating a Python Project: The first step involves creating a Python project using an editor like PyCharm, which simplifies virtual environment management. The project is named "Python_GUI" in the example.
2. Installing PI visual Library: The PI visual library is installed via the Python interpreter settings in PyCharm. The command used is essentially finding and installing the "PI visual" package. The latest version is recommended.
3. PI visual Account Registration: Users need to register an account on pivisual.co, confirm their email, and then log in to access the PI visual interface.

Initial Project Configuration

1. Project Naming: Within the PI visual interface, a new project is created and named (e.g., "setup").
2. Saving Progress: The presenter emphasizes the importance of manually saving progress by clicking the "update" button, as there is no autosave function.
3. Linking Local Folder (Autosync):
   • The project needs to be linked to a local folder in the PyCharm project.
   • The absolute path of the project folder is copied from PyCharm.
   • A new folder (e.g., "setup") is created within the project folder to house the PI visual project files.
   • PI visual is granted permissions to make changes in the selected folder.
   • This process is referred to as "autosync."
4. Running the Application: After linking the folder, PI visual generates app.py and UI files within the specified folder. The application is run by right-clicking on app.py in PyCharm and selecting "Run app."

UI Customization

1. Window Size: The dimensions of the application window can be adjusted within the PI visual interface (e.g., changing the size to 400x200). The "fit" option and the 100% zoom level are mentioned for accurate size representation.
2. Background Color: The background color of the window can be changed by selecting a color from the color picker (e.g., setting it to red).
3. Background Images:
   • Background images can be selected from the PI visual library without needing to manually download or add assets.
   • The presenter demonstrates selecting an image and updating the project to reflect the change.
   • The background can be removed by clicking the cross button.
   • The presenter suggests searching for gradients for interesting backgrounds.

Code Structure and Generation

1. Code Button: A "code" button at the bottom of the PI visual interface allows users to view the generated code.
2. File Structure:
   • app.py: The main application file that is executed.
   • UI.py: A manager file that handles the UI of different pages.
   • UI_page_0.py, UI_page_1.py, etc.: Files that contain the UI code for individual pages.
3. UI Element Code Generation: When UI elements (e.g., buttons) are added to a page, the corresponding code is automatically generated in the respective UI_page_x.py file.
4. Asset Management: Background images and fonts used in the project are automatically downloaded and stored in the "assets" folder within the linked local folder.

Autosync and Project Management

1. Autosync Folder: The linked local folder is referred to as the "autosync folder." The link can be changed or removed using the PI visual interface.
2. Project Status: In the PI visual project list, a green link indicates that a project is linked to a local folder.
3. Persistent Access: Granting PI visual access to the local folder allows it to update the code even after the browser is closed and reopened.

Conclusion

The video provides a step-by-step guide to setting up a Python GUI project using the PI visual library. It covers project creation, library installation, account registration, local folder linking, UI customization, and code generation. The presenter emphasizes the ease of use and the automatic asset management features of PI visual. The video concludes by outlining future topics, including working with buttons, input text, tabs, menus, and OpenCV widgets. The key takeaway is that PI visual simplifies the process of creating graphical interfaces in Python by providing a visual design environment and automatically generating the necessary code.