Update app.py

app.py

@@ -15,7 +15,7 @@ def predict_sentiment(text):
     input_ids = tf.constant(bert_tokenizer.encode(text, add_special_tokens=True))[None, :]  # Menambahkan token khusus [CLS] dan [SEP]
     logits = bert_model(input_ids)[0]
     probabilities = tf.nn.softmax(logits, axis=1)
-     sentiment_score, sentiment_label = probabilities.numpy()[0]
+    sentiment_score, sentiment_label = probabilities.numpy()[0]
     return sentiment_score, sentiment_label
 
 # Judul aplikasi