Update app.py

app.py

@@ -1,18 +1,18 @@
 import gradio as gr 
 from transformers import pipeline 
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+pipeline = 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}
 
 gradio_app = gr.Interface(
-    predict, 
-    inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"), 
+    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?",
-)
+    title="Hot Dog? or Not?"
+) 
 
-if __name__ == "__main__":
+if _name_ == "_main_":
     gradio_app.launch()