Update app.py

app.py

@@ -3,10 +3,11 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 
 # Load models and tokenizers
-sarcasm_tokenizer = AutoTokenizer.from_pretrained("microsoft/deberta-v3-base")
 sarcasm_model = AutoModelForSequenceClassification.from_pretrained("dnzblgn/Sarcasm-Detection-Customer-Reviews")
-sentiment_tokenizer = AutoTokenizer.from_pretrained("facebook/roberta-base")
 sentiment_model = AutoModelForSequenceClassification.from_pretrained("dnzblgn/Sentiment-Analysis-Customer-Reviews")
+sarcasm_tokenizer = AutoTokenizer.from_pretrained("microsoft/deberta-v3-base", use_fast=False)
+sentiment_tokenizer = AutoTokenizer.from_pretrained("facebook/roberta-base", use_fast=False)
+
 
 def process_text_pipeline(user_input):
     sentences = user_input.split("\n")