Update app.py

app.py

@@ -515,48 +515,23 @@ if recipe_submit and uploaded_image:
             """
         ),
     ]
-    with col2:
-        with st.spinner():
-            if query:
-                # Call the OpenAI API
-                openAIresponse = llm.invoke(openAICall)
-                print("AI CALL RESPONSE: ", openAIresponse.content, "END AI CALL RESONSE")
-            
-                RAGresponse = get_response(openAIresponse.content + " " + query)
-            else:
-                RAGresponse = get_response(predictions[0][0])
-            print("RAGresponse: ", RAGresponse)
-            display_response(RAGresponse)
-
-# elif uploaded_image is not None:
-#     with col1:
-#         # Open the image
-#         input_image = Image.open(uploaded_image)
-    
-#         # Display the image
-#         st.image(input_image, caption="Uploaded Image.", use_container_width=True)
-    
-#         # Classify the image and display the result
-#         predictions = classifyImage(input_image)
-#         fpredictions = ""
-    
-#         # Show the top predictions with percentages
-#         st.write("Top Predictions:")
-#         for class_name, confidence in predictions:
-#             if int(confidence) > 0.05:
-#                 fpredictions += f"{class_name}: {confidence:.2f}%,"
-#             if int(confidence) > 5:
-#                 class_name = class_name.replace("_", " ")
-#                 class_name = class_name.title()
-#                 st.markdown(f"*{class_name}*: {confidence:.2f}%")
-#         print(fpredictions)
+    with col2, st.spinner():
+        if query:
+            # Call the OpenAI API
+            openAIresponse = llm.invoke(openAICall)
+            print("AI CALL RESPONSE: ", openAIresponse.content, "END AI CALL RESONSE")
+        
+            RAGresponse = get_response(openAIresponse.content + " " + query)
+        else:
+            RAGresponse = get_response(predictions[0][0])
+        print("RAGresponse: ", RAGresponse)
+        display_response(RAGresponse)
 
 elif recipe_submit and query:
-    with col2:
-        with st.spinner():
-            response = get_response(query)
-            print(response)
-            display_response(response)
+    with col2, st.spinner():
+        response = get_response(query)
+        print(response)
+        display_response(response)
 else:
     st.warning('Please input an image or a query.', icon="🍕")