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app.py

@@ -764,24 +764,31 @@ def nutrition_disorder_streamlit():
             # Filter input using Llama Guard
             filtered_result = filter_input_with_llama_guard(user_query) # Blank #2: Fill in with the function name for filtering input (e.g., filter_input_with_llama_guard)
             #filtered_result = filtered_result.replace("\n", " ")  # Normalize the result
+            #print(f"filtered_result (1): {filtered_result}")
+            st.write(f"filtered_result (1): {filtered_result}")
             if filtered_result is None:
-                print("Agent: Sorry, I encountered an error while filtering your input. Please try again.")
+                #print("Agent: Sorry, I encountered an error while filtering your input. Please try again.")
+                st.write("Agent: Sorry, I encountered an error while filtering your input. Please try again.")
                 #continue
             else:
                 filtered_result = filtered_result.replace("\n", " ")  # Normalize the result
-                print(f"filtered_result (2): {filtered_result}")
+                #print(f"filtered_result (2): {filtered_result}")
+                st.write(f"filtered_result (2): {filtered_result}")
 
             # Check if input is safe based on allowed statuses
             if filtered_result in ["safe", "safe S7", "safe S6"]: # Blanks #3, #4, #5: Fill in with allowed safe statuses (e.g., "safe", "unsafe S7", "unsafe S6")
-                #st.write("Input is safe.")
+                st.write("Input is safe.")
                 try:
+
                     if 'chatbot' not in st.session_state:
                         st.session_state.chatbot = NutritionBot() # Blank #6: Fill in with the chatbot class initialization (e.g., NutritionBot)
-                    #st.write("chatbot is calling handle_customer_query...")
-                    #st.write("user_id: ", st.session_state.user_id)
-                    #st.write("user_query: ", user_query)
+                    
+                    st.write("chatbot is calling handle_customer_query...")
+                    st.write("user_id: ", st.session_state.user_id)
+                    st.write("user_query: ", user_query)
+                    
                     response = st.session_state.chatbot.handle_customer_query(st.session_state.user_id, user_query)
-                    #st.write("response is returned.")
+                    st.write("response is returned.")
                     # Blank #7: Fill in with the method to handle queries (e.g., handle_customer_query)
 
                     st.write(response)