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app.py

@@ -570,9 +570,9 @@ class NutritionBot:
 
         self.client = ChatOpenAI(
             model_name="gpt-4o",  # Specify the model to use (e.g., GPT-4 optimized version)
-            #api_key = my_api_key, # config.get("API_KEY"),  # API key for authentication
-            #base_url = endpoint, # config.get("OPENAI_API_BASE"),
-            #temperature=0  # Controls randomness in responses; 0 ensures deterministic results
+            api_key = api_key, # config.get("API_KEY"),  # API key for authentication
+            base_url = endpoint, # config.get("OPENAI_API_BASE"),
+            temperature=0  # Controls randomness in responses; 0 ensures deterministic results
         )
 
         # Define tools available to the chatbot, such as web search
@@ -590,7 +590,6 @@ class NutritionBot:
                           Always use the agentic_rag tool to retrieve up-to-date and evidence-based nutrition insights.
                           Keep track of ongoing issues and follow-ups to ensure continuity in support.
                           Your primary goal is to help customers make informed nutrition decisions that align with their health conditions and personal preferences.
-
         """
 
         # Build the prompt template for the agent
@@ -678,7 +677,7 @@ 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"""
@@ -686,9 +685,11 @@ class NutritionBot:
         Current customer query: {query}
         Provide a helpful response that takes into account any relevant past interactions.
         """
+        st.write("Context: ", prompt)
 
         # Generate a response using the agent
         response = self.agent_executor.invoke({"input": prompt})
+        st.write("Context: ", response)
 
         # Store the current interaction for future reference
         self.store_customer_interaction(