Update app.py

app.py

@@ -5,8 +5,8 @@ import torch
 # Load models and tokenizers
 sarcasm_model = AutoModelForSequenceClassification.from_pretrained("dnzblgn/Sarcasm-Detection-Customer-Reviews")
 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("FacebookAI/roberta-base", use_fast=False)
+sarcasm_tokenizer = AutoTokenizer.from_pretrained("dnzblgn/Sarcasm-Detection-Customer-Reviews", use_fast=False)
+sentiment_tokenizer = AutoTokenizer.from_pretrained("dnzblgn/Sentiment-Analysis-Customer-Reviews", use_fast=False)
 
 # Function to analyze sentiment
 def analyze_sentiment(sentence):