Update app.py

app.py

@@ -41,15 +41,14 @@ def predict(age, bmi, children, sex, smoker, region):
         'region': region}
 
     df = pd.DataFrame(data, index=[0])
-    prediction = model.predict(df)[0]
-    prediction = float(prediction)
     
     # Apply the same transformations used in training
-    #transformed_df = model.named_steps['columntransformer'].transform(df)
+    transformed_df = model.named_steps['columntransformer'].transform(df)
     #print("Transformed DataFrame:", transformed_df)  # Debug transformed data
+    prediction = model.predict(df)[0]
+    prediction = float(prediction)
 
-    # Predict using the trained model
-    #p rediction = model.predict(df)[0]
+   
     
 
     # Prepare the log entry