Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,25 +1,13 @@
 
-# import nltk
-# import os
-
-# # Set local download directory (inside Hugging Face's writable space)
-# nltk_data_dir = os.path.join(os.path.dirname(__file__), "nltk_data")
-
-# # Download punkt tokenizer to local path
-# nltk.download("punkt", download_dir=nltk_data_dir)
-
-# # Set the path for NLTK to find data
-# nltk.data.path.append(nltk_data_dir)
-
 import streamlit as st
 import tensorflow as tf
 import numpy as np
 import re
 import nltk
 
-# # Ensure NLTK sentence tokenizer is available
-# nltk.download('punkt')
-# from nltk.tokenize import sent_tokenize
+# Ensure NLTK sentence tokenizer is available
+nltk.download('punkt')
+from nltk.tokenize import sent_tokenize
 
 model = tf.keras.models.load_model('src/my_distilbert_classifier.keras')