Update Space

app.py

@@ -43,11 +43,13 @@ model.load_state_dict(model_state)
 model.eval()
 
 # Fungsi untuk tokenisasi, stemming, dan bag-of-words
+stemmer = PorterStemmer()
+
 def tokenize(sentence):
     return nltk.word_tokenize(sentence)
 
 def stem(word):
-    return PorterStemmer().stem(word.lower())
+    return stemmer.stem(word.lower())
 
 def bag_of_words(tokenized_sentence, all_words):
     tokenized_sentence = [stem(w) for w in tokenized_sentence]
@@ -55,6 +57,7 @@ def bag_of_words(tokenized_sentence, all_words):
     for idx, w in enumerate(all_words):
         if w in tokenized_sentence:
             bag[idx] = 1.0
+
     return bag
 
 # Fungsi prediksi