Update app.py

app.py

@@ -89,9 +89,13 @@ if category_choice == "Flooring":
         x = preprocess_input(x)
     
         preds = loaded_model.predict(x)
+        print(preds)
         class_index = np.argmax(preds[0])
+        print(class_index)
         max_probability = preds[0][class_index]
+        print(max_probability)
         class_name = class_labels[class_index]
+        print(class_name)
     
         # Classification Result Display
         st.subheader("🔍 Classification Result")