Update app.py

app.py

@@ -146,7 +146,7 @@ def main():
   
   model_path1 = "DistilBertforTokenclassification"
   
-  model = DistilBertForTokenClassification.from_pretrained(model_path1,,low_cpu_mem_usage=True) #len(unique_tags),, num_labels= 7, , id2label={0:'CT',1:'E',2:'C',3:'O'}
+  model = DistilBertForTokenClassification.from_pretrained(model_path1,low_cpu_mem_usage=True) #len(unique_tags),, num_labels= 7, , id2label={0:'CT',1:'E',2:'C',3:'O'}
   pipe = pipeline('ner', model=model, tokenizer=tokenizer,aggregation_strategy='simple') #grouped_entities=True
   st.write('DistilBERT loaded')
   sentence_pred = []