Update app.py

app.py

@@ -109,7 +109,6 @@ tokenizer1 = AutoTokenizer.from_pretrained("AlGe/deberta-v3-large_Int_segment",
 
 model2 = AutoModelForSequenceClassification.from_pretrained("AlGe/deberta-v3-large_seq_ext", num_labels=1, token=auth_token)
 
-@spaces.GPU
 # Define functions to process inputs
 def process_ner(text, pipeline):
     output = pipeline(text)
@@ -150,7 +149,8 @@ def process_classification(text, model1, model2, tokenizer1):
     score = prediction1 / (prediction2 + prediction1)
 
     return f"{round(prediction1, 1)}", f"{round(prediction2, 1)}", f"{round(score, 2)}"
-
+    
+@spaces.GPU
 def all(text):
     return process_ner(text, pipe_bin), process_ner(text, pipe_ext), process_classification(text, model1, model2, tokenizer1)[0], process_classification(text, model1, model2, tokenizer1)[1], process_classification(text, model1, model2, tokenizer1)[2]