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app.py

@@ -699,15 +699,20 @@ class NutritionBot:
 
         # Prepare a prompt combining past context and the current query
         #prompt = f"""Context: {context}; Current customer query: {query}; Provide a helpful response that takes into account any relevant past interactions."""
-        prompt = f"""
-        Context: {context}
-        Current customer query: {query}
-        Provide a helpful response that takes into account any relevant past interactions.
-        """
-        print("Prepare for invoke...")
+        prompt_str = f" \
+        Context: {context} \
+        Current customer query: {query} \
+        Provide a helpful response that takes into account any relevant past interactions. \
+        "
+        #prompt = f"""
+        #Context: {context}
+        #Current customer query: {query}
+        #Provide a helpful response that takes into account any relevant past interactions.
+        #"""
+        print(f"Prepare for invoke...{prompt_str}")
 
         # Generate a response using the agent
-        response = self.agent_executor.invoke({"input": prompt})
+        response = self.agent_executor.invoke({"input": prompt_str})
         st.write("Got response...")
 
         # Store the current interaction for future reference