Update app.py

app.py

@@ -41,12 +41,6 @@ explainer = shap.Explainer(pred)
 #     score_1sym = x['score']
 #     return round(score_1sym,3)
 
-ner_tokenizer = AutoTokenizer.from_pretrained("d4data/biomedical-ner-all")
-ner_model = AutoModelForTokenClassification.from_pretrained("d4data/biomedical-ner-all")
-
-ner_pipe = pipeline("ner", model=ner_model, tokenizer=ner_tokenizer, aggregation_strategy="simple") # pass device=0 if using gpu
-#
-
 def adr_predict(x):
     encoded_input = tokenizer(x, return_tensors='pt')
     output = model(**encoded_input)