Update sentiment-analyser.py

sentiment-analyser.py

@@ -1,5 +1,5 @@
 import streamlit as st
-from transformers import pipeline
+from transformers import pipeline, AutoTokenizer
 
 st.title('Sentiment Analyser App')
 st.write('Welcome to my sentiment analysis app!')
@@ -14,7 +14,8 @@ def classification(user_input, type):
     if type=="sentiment-analysis":
         classifier = pipeline("sentiment-analysis")   
     elif type=="twitter-xlm-roberta-base-sentiment":
-        classifier = pipeline("sentiment-analysis", model="cardiffnlp/twitter-xlm-roberta-base-sentiment", tokenizer="cardiffnlp/twitter-xlm-roberta-base-sentiment")
+        tokenizer=AutoTokenizer.from_pretrained(“cardiffnlp/twitter-xlm-roberta-base-sentiment”, use_fast=False)
+        classifier = pipeline("sentiment-analysis", model="cardiffnlp/twitter-xlm-roberta-base-sentiment", tokenizer)
     result = classifier(user_input)[0]
     return result