Update app.py

app.py

@@ -1,14 +1,15 @@
 import gradio as gr
+from transformers import pipeline
 
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
-def ui_interface(input_image):
-    segmented = watershed_segmentation(input_image)
-    return segmented
+def predict(image):
+    predictions = pipeline(image)
+    return {p["label"]: p["score"] for p in predictions}
 
-iface = gr.Interface(
-    fn=ui_interface,
-    inputs=gr.inputs.Image(),
-    outputs=gr.outputs.Image()
-)
-
-iface.launch()
+gr.Interface(
+    predict,
+    inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
+    outputs=gr.outputs.Label(num_top_classes=2),
+    title="Hot Dog? Or Not?",
+).launch()