Update app.py

app.py

@@ -22,14 +22,14 @@ import streamlit as st
 import requests
 import torch
 from transformers import pipeline
-from transformers import T5ForConditionalGeneration, T5Tokenizer
+from transformers import BartTokenizer, BartForConditionalGeneration
 
 # Replace with your Hugging Face model repository path
 model_repo_path = 'AbdurRehman313/BART_samsum'
 
 # Load the model and tokenizer
-model = T5ForConditionalGeneration.from_pretrained(model_repo_path)
-tokenizer = T5Tokenizer.from_pretrained(model_repo_path)
+model = BartForConditionalGeneration.from_pretrained(model_repo_path)
+tokenizer = BartTokenizer.from_pretrained(model_repo_path)
 
 # Initialize the summarization pipeline
 summarizer = pipeline('summarization', model=model,tokenizer=tokenizer)