Update app.py

app.py

@@ -1,18 +1,20 @@
-import gradio as gr
+# Use a pipeline as a high-level helper
 from transformers import pipeline
 
-pipeline - pipeline(tasks-"image-classification", model="julien-c/hotdog-not-hotdog")
+pipe = pipeline("image-classification", model="julien-c/hotdog-not-hotdog")
 
 def predict(input_img):
-  predictions = pipeline(input_img)
-  return input_img, {p["label"]: p["score"] for p in predictions}
-    
+  predictions=pipeline(input_img)
+  return input_img, {p['lbale']: p["score"] for p in predictions}
+
+import gradio as gr
 gradio_app = gr.Interface(
     predict,
     inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
-    outputs=[gr.Image(label="processed Image"), gr.Label(label="Result", num_top_classes=2)],
-    title="hot Dog? Or Not?",
+    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
+    title="Hot Dog? Or Not?"
+
 )
 
-if __name__ == "__main":
+if _name== "main_":
     gradio_app.launch()