Update app.py

app.py

@@ -9,13 +9,13 @@ auth_token = os.environ['HF_TOKEN']
 tokenizer_ext = AutoTokenizer.from_pretrained("AlGe/deberta-v3-large_token", token=auth_token)
 model_ext = AutoModelForTokenClassification.from_pretrained("AlGe/deberta-v3-large_token", token=auth_token)
 tokenizer_ext.model_max_length = 512
-pipe_ext = gr.pipeline("ner", model=model_ext, tokenizer=tokenizer_ext)
+pipe_ext = pipeline("ner", model=model_ext, tokenizer=tokenizer_ext)
 
 # Load the tokenizer and models for the second pipeline
 tokenizer_ais = AutoTokenizer.from_pretrained("AlGe/deberta-v3-large_AIS-token", token=auth_token)
 model_ais = AutoModelForTokenClassification.from_pretrained("AlGe/deberta-v3-large_AIS-token", token=auth_token)
 tokenizer_ais.model_max_length = 512
-pipe_ais = gr.pipeline("ner", model=model_ais, tokenizer=tokenizer_ais)
+pipe_ais = pipeline("ner", model=model_ais, tokenizer=tokenizer_ais)
 
 # Load the tokenizer and models for the third pipeline
 model1 = AutoModelForSequenceClassification.from_pretrained("AlGe/deberta-v3-large_Int_segment", num_labels=1, token=auth_token)