Update app.py

app.py

@@ -1,11 +1,12 @@
 import streamlit as st
 st.title("Text Summarizer")
 
-from transformers import AutoModelForSeq2SeqLM
+#from transformers import AutoModelForSeq2SeqLM
+from t5_model import T5
 from transformers import AutoTokenizer
 from transformers import pipeline
 model_name = "ZinebSN/T5_Summarier"
-model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+model = T5.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained('t5-small')
 input_text=st.text_area("Input the text to summarize","")
 if st.button("Summarize"):