Update paraphrase.py

paraphrase.py

@@ -2,12 +2,12 @@ import re
 import torch
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
+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)
 
 def para(paragraph):
-    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)
 
     sen = []
     for i in paragraph: