Update app.py

app.py

@@ -11,6 +11,8 @@ labels = learn.dls.vocab
 def classify_trash(img):
     pred_class, pred_idx, probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    
+examples = ["glass.png","plastic.jpg"]
 
 # Gradio Interface
 interface = gr.Interface(
@@ -18,7 +20,8 @@ interface = gr.Interface(
     inputs=gr.Image(type="pil"),
     outputs=gr.Label(num_top_classes=5),
     title="Trash Classifier",
-    description="Upload a trash image to classify it into one of 5 categories."
+    description="Upload a trash image to classify it into one of 5 categories.",
+    examples=examples
 )
 
 # Launch app