Upload app.py with huggingface_hub

app.py

@@ -677,15 +677,18 @@ class NutritionBot:
             context += "---\n"
 
         # Print context for debugging purposes
-        st.write("Context: ", context)
+        #st.write("Context: ", context)
 
         # Prepare a prompt combining past context and the current query
         prompt = f"""
-        Context: {context}
+        Context:
+        {context}
+
         Current customer query: {query}
+
         Provide a helpful response that takes into account any relevant past interactions.
         """
-        st.write("Context: ", prompt)
+        #st.write("Context: ", prompt)
 
         # Generate a response using the agent
         response = self.agent_executor.invoke({"input": prompt})
@@ -764,14 +767,14 @@ def nutrition_disorder_streamlit():
 
             # 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 instantiated - calling handle_customer_query...")
+                    #st.write("chatbot instantiated - calling handle_customer_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)
                     st.session_state.chat_history.append({"role": "assistant", "content": response})