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app.py

@@ -688,13 +688,13 @@ class NutritionBot:
 
         # Build a context string from the relevant history
         context = "Previous relevant interactions:\n"
-        #for memory in relevant_history:
-        #    context += f"Customer: {memory['memory']}\n"  # Customer's past messages
-        #    context += f"Support: {memory['memory']}\n"  # Chatbot's past responses
-        #    context += "---\n"
+        for memory in relevant_history:
+            context += f"Customer: {memory['memory']}\n"  # Customer's past messages
+            context += f"Support: {memory['memory']}\n"  # Chatbot's past responses
+            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"""
@@ -702,6 +702,7 @@ class NutritionBot:
         Current customer query: {query}
         Provide a helpful response that takes into account any relevant past interactions.
         """
+        st.write("prompt: ", prompt)
 
         # Generate a response using the agent
         response = self.agent_executor.invoke({"input": prompt})