test output

app.py

@@ -5,12 +5,12 @@ pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotd
 
 def predict(input_img):
     predictions = pipeline(input_img)
-    return {p["label"]: p["score"] for p in predictions}
+    return {p["label"]: p["score"] for p in predictions}, input_img
 
 gradio_app = gr.Interface(
     predict,
     inputs=gr.Image(label="Select hot dog candidate", type="pil"),
-    outputs=gr.Label(num_top_classes=2),
+    outputs=[gr.Label(num_top_classes=2), "image"],
     title="Hot Dog? Or Not?",
 )