Update app.py

app.py

@@ -1,28 +1,13 @@
 import streamlit as st
 from transformers import BartTokenizer, BartForConditionalGeneration, pipeline
-import zipfile
-import os
 import nltk
 
 # Download NLTK data
 nltk.download('punkt')
 from nltk.tokenize import sent_tokenize
 
-# Define the path to the saved model zip file (ensure there is no extra space)
-zip_model_path = 'bartzip.zip'
-
 # Define the directory to extract the model
-model_dir = './model'
-
-# Unzip the model
-with zipfile.ZipFile(zip_model_path, 'r') as zip_ref:
-    zip_ref.extractall(model_dir)
-
-# After unzipping, the model should be in a specific directory, check the directory structure
-model_path = os.path.join(model_dir, 'Bart_model')
-
-# Print out the model_path for debugging
-print("Model Path:", model_path)
+model_path = './bart_model'
 
 # Verify that the directory exists and contains the necessary files
 if not os.path.exists(model_path):