Update app.py

app.py

@@ -3,15 +3,15 @@ from transformers import pipeline
 pipeline = pipeline(task="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["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"),
-    outputs = [gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
-    title = "Hot Dog? Or Not?"
+    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?"
 )
 
-if __main__=="__main__":
-    gradio_app.launch()
+if __name__ == "__main__":  # Fixed here
+    gradio_app.launch()