Deploying an ML model for numerical data

Before we create the UI, we need to define a function that will take care of making predictions using a model that we trained in the previous chapter. This function takes the parameters as a user would see them and then makes a prediction. The following code fragment contains this function:

import gradio as gr
import pandas as pd
import joblib
def predict_defects(cbo,
                    dcc,
                    exportCoupling,
                    importCoupling,
                    nom,
          ...