1

app.py

@@ -3,10 +3,12 @@ from transformers import BertTokenizer, TFBertForSequenceClassification
 import tensorflow as tf
 import numpy as np
 
-# Load model and tokenizer from Hugging Face Hub
+from transformers import BertForSequenceClassification
+
 model_name = "shobrunjb/mtl-indobert-fake-review-product"
+model = BertForSequenceClassification.from_pretrained(model_name)
 tokenizer = BertTokenizer.from_pretrained('shobrunjb/mtl-indobert-fake-review-product')
-model = TFBertForSequenceClassification.from_pretrained(model_name)
+
 
 def predict(text):
     # Tokenize input text