Update app.py

app.py

@@ -39,17 +39,18 @@ def predict(age, bmi, children, sex, smoker, region):
         'sex': sex, 
         'smoker': smoker, 
         'region': region}
-    
-    df = pd.DataFrame(data) 
-    print("Input DataFrame:", df)
+
+    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)
-    print("Transformed DataFrame:", transformed_df)  # Debug transformed data
+    #transformed_df = model.named_steps['columntransformer'].transform(df)
+    #print("Transformed DataFrame:", transformed_df)  # Debug transformed data
 
     # Predict using the trained model
-    prediction = model.predict(df)[0]
-    prediction = float(prediction)
+    #p rediction = model.predict(df)[0]
+    
 
     # Prepare the log entry
     log_entry = {