Update app.py

app.py

@@ -10,7 +10,7 @@ tokenizer = BertTokenizer.from_pretrained('dslim/bert-large-NER')
 bert_model = BertModel.from_pretrained('dslim/bert-large-NER')
 
 # Load the trained Logistic Regression classifier
-with open('bert_uncased.pkl', 'rb') as model_file:
+with open('bert_large_ner.pkl', 'rb') as model_file:
     classifier = pickle.load(model_file)
 
 # Define function to preprocess and classify text