Refine code to reduce number of outputs

app.py

@@ -11,8 +11,12 @@ retrieval_model_name = 'all-MiniLM-L6-v2'  # Using a pre-trained model from Hugg
 
 openai.api_key = os.environ["OPENAI_API_KEY"]
 
-# Update the system message to provide more guidance on generating a to-do list
-system_message = "You are an assistant specialized in creating detailed to-do lists based on user input. Parse the input for tasks and generate a comprehensive list of actionable items. Output the items in a numbered list."
+# Update the system message to provide more guidance on generating a concise to-do list
+system_message = (
+    "You are an assistant specialized in creating concise to-do lists based on user input. "
+    "Parse the input for tasks and generate a list of the most important actionable items. "
+    "Output the items in a numbered list, with a maximum of 3 items."
+)
 
 # Initial system message to set the behavior of the assistant
 messages = [{"role": "system", "content": system_message}]
@@ -72,12 +76,12 @@ def generate_response(user_query):
         # Append user's message to messages list
         messages.append({"role": "user", "content": user_query})
         
-        # Call OpenAI API to generate a to-do list based on the user query
+        # Call OpenAI API to generate a concise to-do list based on the user query
         response = openai.ChatCompletion.create(
             model="gpt-4",
             messages=messages,
-            max_tokens=200,
-            temperature=0.2,
+            max_tokens=150,  # Adjusted max tokens to reduce output length
+            temperature=0.3,
             top_p=1,
             frequency_penalty=0,
             presence_penalty=0