Creating UI for Modeling Inputs

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 build different Gradio components that allow users to set different values for each of the attributes that are used by the model. These values can then be passed into the model and produce an estimate. In this lesson, we will focus on building the interface to set the values.