Update app.py

app.py

@@ -1,10 +1,9 @@
 import torch
-from transformers import T5ForConditionalGeneration,T5Tokenizer
+from transformers import T5ForConditionalGeneration,T5Tokenizer, AutoTokenizer, AutoModelForSeq2SeqLM
 import streamlit as st
 
-model_name = "ramsrigouthamg/t5_paraphraser"
-model = T5ForConditionalGeneration.from_pretrained('ramsrigouthamg/t5_paraphraser')
-tokenizer = T5Tokenizer.from_pretrained('ramsrigouthamg/t5_paraphraser')
+tokenizer = AutoTokenizer.from_pretrained("Vamsi/T5_Paraphrase_Paws")  
+model = AutoModelForSeq2SeqLM.from_pretrained("Vamsi/T5_Paraphrase_Paws")
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model = model.to(device)