Update app.py

app.py

@@ -2,8 +2,8 @@ import torch
 from transformers import T5ForConditionalGeneration,T5Tokenizer, AutoTokenizer, AutoModelForSeq2SeqLM
 import streamlit as st
 model_name = st.text_input("Pick a Model", "seduerr/t5-pawraphrase")
-tokenizer = AutoTokenizer.from_pretrained(model_name)  
-model = AutoModelForSeq2SeqLM.from_pretrained("t5-base")
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained("t5-base")  
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model = model.to(device)