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app.py

@@ -90,12 +90,11 @@ embedding_model = OpenAIEmbeddings(
 llm = ChatOpenAI(
     openai_api_base=endpoint, # Complete the code to define the endpoint
     openai_api_key=api_key, # Complete the code to provide the API key
-    model="gpt-4o-mini", # Complete the code to define the Azure deployment name
-    streaming=False # Complete the code to set the temperature for response variability
+    model="gpt-4o-mini", # Complete the code to define the deployment name
+    temperature=0.5, # Complete the code to set the temperature for the model
+    streaming=False # Turn off streaming
 )
 
-# This initializes the Chat OpenAI model with the provided endpoint, API key, deployment name, and a temperature setting of 0 (to control response variability).
-
 # set the LLM and embedding model in the LlamaIndex settings.
 Settings.llm = llm # Complete the code to define the LLM model
 Settings.embedding = embedding_model # Complete the code to define the embedding model
@@ -792,7 +791,7 @@ def nutrition_disorder_streamlit():
           user_query = user_query.strip()
         else:
           user_query = ""  # Default to an empty string if no input is provided
-          
+
         if user_query:
             if user_query.lower() == "exit":
                 st.session_state.chat_history.append({"role": "user", "content": "exit"})