no message

main.py

@@ -140,6 +140,7 @@ def segment_text(text: str, max_tokens=500):  # Setting a conservative limit bel
 
 
 tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased-finetuned-sst-2-english")
+classifier = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")
 
 def robust_segment_text(text: str, max_tokens=510):  # Slightly less to ensure a buffer
     doc = nlp(text)