Update app.py

app.py

@@ -3,12 +3,16 @@ import pandas as pd
 import numpy as np
 import re
 import pickle
+import nltk
 from transformers import AutoTokenizer, TFAutoModelForSequenceClassification
 from sklearn.preprocessing import LabelEncoder
 from nltk.corpus import stopwords
 from nltk.stem import WordNetLemmatizer
 import inflect
 
+# Ensure NLTK stopwords are downloaded
+nltk.download('stopwords')
+
 # Load the tokenizer, label encoder, and model
 def load_resources():
     tokenizer = AutoTokenizer.from_pretrained('./transformer_tokenizer')
@@ -90,4 +94,4 @@ iface = gr.Interface(fn=predict_spam,
                      description="Enter an SMS message to classify it as spam or ham.")
 
 # Launch the interface
-iface.launch()
+iface.launch(share=True)