Update app.py

app.py

@@ -10,14 +10,6 @@ import sklearn
 
 nltk.download('punkt')
 
-def custom_tokenizer_with_Turkish_stemmer(text):
- # tokenize text
- # tokens = text.split(" ")
- tokens = [word for word in nltk.word_tokenize(text)]
- print(tokens)
- stems = [stemmerEN.stem(item.lower()) for item in tokens] 
- return stems
-
 def predictSMSdata(test_text):
  categories = ["legitimate", "spam"]
  categories.sort()