Update sentiment-analyser.py

sentiment-analyser.py

@@ -14,7 +14,7 @@ def classification(user_input, type):
     if type=="sentiment-analysis":
         classifier = pipeline("sentiment-analysis")   
     elif type=="twitter-xlm-roberta-base-sentiment":
-        tokenizer=AutoTokenizer.from_pretrained("cardiffnlp/twitter-xlm-roberta-base-sentiment", use_fast=False)
+        tokenizer=AutoTokenizer.from_pretrained("cardiffnlp/twitter-xlm-roberta-base-sentiment", use_fast=True)
         classifier = pipeline("sentiment-analysis", model="cardiffnlp/twitter-xlm-roberta-base-sentiment", tokenizer=tokenizer)
     result = classifier(user_input)[0]
     return result