Update paraphrase.py

paraphrase.py

@@ -3,12 +3,14 @@ import torch
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 import streamlit as st
 
-@st.cache(allow_output_mutation=True)
+
+
 model = AutoModelForSeq2SeqLM.from_pretrained("ramsrigouthamg/t5-large-paraphraser-diverse-high-quality")
 tokenizer = AutoTokenizer.from_pretrained("ramsrigouthamg/t5-large-paraphraser-diverse-high-quality")
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model = model.to(device)
 
+@st.cache(allow_output_mutation=True)
 def para(paragraph):
 
     sen = []