Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,15 +1,15 @@
 
-import nltk
-import os
+# 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")
+# # 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)
+# # 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)
+# # Set the path for NLTK to find data
+# nltk.data.path.append(nltk_data_dir)
 
 import streamlit as st
 import tensorflow as tf
@@ -17,9 +17,9 @@ 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('my_distilbert_classifier.keras')