Update app.py

app.py

@@ -5,7 +5,8 @@ pipeline =pipeline("image-classification",model="p1atdev/siglip-tagger-test-3",t
 
 def predict(input_img):
     predictions = pipeline(input_img ,  threshold=0.5, #optional parameter defaults to 0
-                  return_scores = False #optional parameter defaults to False)
+                  return_scores = False #optional parameter defaults to False
+                          )
     return input_img, {p["label"]: p["score"] for p in predictions} 
 
 gradio_app = gr.Interface(