Update app.py

app.py

@@ -342,9 +342,24 @@ if uploaded_image and recipe_submit:
                 {fpredictions}
                 And the following user request:
                 {query}
-                Return to me JUST ONE of the classified images that most relates to the user request. 
-                If the predictions and the user query do not correlate, return the most likely dish focusing on the user query.
+                1. If the user's query relates to any of the classified predictions (even partially or conceptually), select the most relevant dish from the predictions.
+                2. If the query does not align with the predictions, disregard them and suggest a dish that best matches the user's query.
                 in the format: [dish]
+
+                Example 1:
+                Predictions: apple pie: 50%, cherry tart: 30%, vanilla ice cream: 20%
+                User query: pumpkin
+                Response: [pumpkin pie]
+                
+                Example 2:
+                Predictions: spaghetti: 60%, lasagna: 30%, salad: 10%
+                User query: pasta with layers
+                Response: [lasagna]
+                
+                Example 3:
+                Predictions: sushi: 70%, sashimi: 20%, ramen: 10%
+                User query: noodles
+                Response: [ramen]
             """
         ),
     ]