Update app.py

app.py

@@ -57,7 +57,7 @@ print("✅ Model and vocabulary loaded successfully!")
 def simple_tokenize(text):
     return re.findall(r"\b\w+\b", text.lower())
     
-def predict(text, model, vocab, max_len=1000):
+def predict(text, model, vocab, max_len=100):
     model.eval()
     tokens = simple_tokenize(text.lower())
     token_ids = [vocab.get(word, vocab['<UNK>']) for word in tokens]