Update app.py

app.py

@@ -28,13 +28,12 @@ tokenizer, model = setup_model()
 
 prompt_prefix = """
 You are an energy‑saving expert tasked to help households reduce their monthly electricity bills.
-Given the user's appliance usage information (device name, wattage, hours used per day, days used per week):
+Analyze the following appliance usage data, which is provided in the format "Appliance Name: Wattage, hours/day, days/week". 
 1. Flag the highest energy consumers.
 2. Recommend practical, empathetic, achievable actions.
 3. Suggest appliance swaps (e.g. LED, inverter AC) and habit changes.
-Give at most 5 recommendations and format with bullet points that is <= 100 tokens.
-Stop when you have 5 recommendations.
-Here is the user's input:
+Provide at most 5 recommendation bullet points and stop there.
+Input Data:
 """
 
 def generate_recommendation(appliance_info: str) -> str: