Update app.py

app.py

@@ -6,8 +6,8 @@ clf = pipeline("image-classification", model="nateraw/food")  # example model
 
 def predict(img):
     preds = clf(img)  # list of {label, score}
-    # return top 3 in format expected by gr.Label
-    return {p["label"]: float(p["score"]) for p in preds[:3]}
+    # return top 10 in format expected by gr.Label
+    return {p["label"]: float(p["score"]) for p in preds[:10]}
 
 demo = gr.Interface(fn=predict,
                     inputs=gr.Image(type="pil"),