updated model path

app.py

@@ -11,7 +11,7 @@ label_dict = {"Urgency": 0, "Not Dark Pattern": 1, "Scarcity": 2, "Misdirection"
 model = BertForSequenceClassification.from_pretrained("bert-base-uncased", num_labels=len(label_dict))
 
 # Load fine-tuned weights
-fine_tuned_model_path = r"models\finetuned_BERT_epoch_5.model"
+fine_tuned_model_path = "models/finetuned_BERT_epoch_5.model"
 model.load_state_dict(torch.load(fine_tuned_model_path, map_location=torch.device('cpu')))
 
 # Preprocess the new text