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On this page
  • Implementation details
  • Create GUI class
  • Initialize new GUI in model
  • Example

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  1. App development
  2. Neural Network integration
  3. Serving App with GUI

How to create custom user interface

If the default GUI solution described in the previous articles do not cover your requests, you can create a completely custom GUI option.

Implementation details

To implement your custom GUI, you need to create a new class derived from the BaseInferenceGUI class. This class contains required methods and properties, and you can implement as many additional functionalities as you need.

An instance of this class will be available in the user model class, inherited from the Inference class, as the self.gui property.

Let's consider some of the basic features that you need to implement.

Create GUI class

First, declare the class derived from BaseInferenceGUI in your project. Alternatively, you can inherit from the InferenceGUI class, which provides you with our base functionality to be extended.

import supervisely.nn.inference.gui as GUI
import supervisely.app.widgets as Widgets

class MyGUI(GUI.BaseInferenceGUI):
    pass

Next, you need to implement the required methods and properties:

  1. serve_button property

This is a required property that is used to emit an event that starts model downloading and runs the load_on_device() method from the model class.

@property
def serve_button(self) -> Widgets.Button:
    return self._serve_button
  1. download_progress property

This required property is used to get an instance of the Progress widget to update it during model downloading in the download(src, dst) method in the model class.

@property
def download_progress(self) -> Widgets.Progress:
    return self._download_progress
  1. get_device() method

This method should return the device name, which will be provided as a parameter of the load_on_device(model_dir, device) method in the model class.

def get_device(self) -> str:
    return "cuda:0"
  1. set_deployed() method

This method will be called after the load_on_device(model_dir, device) method, and it is used to set the GUI in the state of a successfully deployed model.

def set_deployed(self) -> None:
    self._serve_button.hide()
    self._success_notification_box.show()
  1. get_gui() method

This method is required to provide the full container of your GUI widgets to display on the app's page.

def get_ui(self) -> Widgets.Widget:
    return Widgets.Container([
        self._download_progress,
        self._serve_button,
        self._success_notification_box,
    ])

Initialize new GUI in model

When your GUI class is implemented, you need to overwrite the GUI initialization in the model class inherited from the Inference class.

The main purpose of this method is to instantiate the self._gui field. If you use some of the parameters in the constructor, you have to provide them here.

def initialize_gui(self) -> None:
    self._gui = MyGUI()

Example

In this example, the MMDetectionGUI class inherited from the InferenceGUI class to extend our base GUI template.

PreviousDefault GUI template customizationNextInference API

Last updated 6 months ago

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As an example of GUI customization, you can refer to the and files in repository.

🔥
gui.py
main.py
Serve MMDetection app