prompt model change

app.py

@@ -40,13 +40,24 @@ chat_model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-base")
 
 def explain_recycling(class_label):
     prompt = f"""
-    waste item: {class_label}.
-    Provide the answer including:
-
-    - trash type
-    - recycling method
-    - tip
+    Example 1:
+    Item: banana peel
+    • Recycling type: Organic
+    • Disposal: Compost or food-waste bin
+    • Processing: Decomposes in composting facilities
+    • Tip: Use a home composter
+
+    Example 2:
+    Item: aluminum can
+    • Recycling type: Metal
+    • Disposal: Rinse and place in metal recycling
+    • Processing: Melted and recast into new cans
+    • Tip: Crush cans to save space
+
+    Now answer in the same 4-bullet format for:
+    Item: {class_label}
     """
+
     inputs = tokenizer(prompt, return_tensors="pt").input_ids
 
     outputs = chat_model.generate(