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app.py

@@ -580,16 +580,13 @@ class NutritionBot:
         #self.client = ChatOpenAI(
         #    model_name="gpt-4o",  # Used gpt-4o to get improved results; Specify the model to use (e.g., GPT-4 optimized version)
         #    #api_key=my_api_key, # API key for authentication
-        #    #api_key="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", # API key for authentication
-        #    #api_key="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",
-        #    api_key="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",
         #    temperature=0  # Controls randomness in responses; 0 ensures deterministic results
         #)
 
         self.client = ChatOpenAI(
           openai_api_base=endpoint,
           openai_api_key=api_key,
-          model="gpt-4o-mini",
+          model="gpt-4o",
           streaming=False, # Explicitly disabling streaming
           temperature=0
         )
@@ -691,10 +688,10 @@ 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)
@@ -790,7 +787,7 @@ def nutrition_disorder_streamlit():
                     else:
                         st.write("In st.session_state...")
 
-                    st.write(f"Getting response...\nSession state: {st.session_state.user_id}\nUser query: {user_query}")
+                    st.write(f"Getting response...\nUser ID: {st.session_state.user_id}\nUser query: {user_query}")
                     response = st.session_state.chatbot.handle_customer_query(st.session_state.user_id, user_query) 
                     st.write(f"Got response: {response}")
                     # Blank #7: Fill in with the method to handle queries (e.g., handle_customer_query)