Update app.py

app.py

@@ -346,22 +346,22 @@ if uploaded_image and recipe_submit:
                 {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]
+                3. Return in the format: [dish], just [dish] and nothing else
 
                 Example 1:
                 Predictions: apple pie: 50%, cherry tart: 30%, vanilla ice cream: 20%
                 User query: pumpkin
-                Response: [pumpkin pie]
+                YOUR Response: [pumpkin pie]
                 
                 Example 2:
                 Predictions: spaghetti: 60%, lasagna: 30%, salad: 10%
                 User query: pasta with layers
-                Response: [lasagna]
+                YOUR Response: [lasagna]
                 
                 Example 3:
                 Predictions: sushi: 70%, sashimi: 20%, ramen: 10%
                 User query: noodles
-                Response: [ramen]
+                YOUR Response: [ramen]
             """
         ),
     ]