Creating UI for Modeling Inputs
Explore how to create various interactive components in Gradio for setting input values to machine learning models. Understand using sliders for numerical inputs and dropdowns for categorical data. This lesson helps you build a user interface that enables users to provide inputs for predictions, preparing you to link these components to trigger inferences.
We'll cover the following...
We'll cover the following...
Building interface for inference
One of the advantages of Gradio is to quickly host and deploy a model. To make the best use of this, we want to allow users to interact with the model and make inferences. In this lesson, we will build upon our application and add different components that allow users to interact with the trained model.
Modeling application: Making inferences
In this example, we will ...