Update app.py

app.py

@@ -9,7 +9,7 @@ def load_model():
     tokenizer = BertTokenizer.from_pretrained('beomi/kcbert-base')
     config = BertConfig.from_pretrained('beomi/kcbert-base', num_labels=7)
     model = BertForSequenceClassification.from_pretrained('beomi/kcbert-base', config=config)
-    model_state_dict = torch.load('sentiment7_model_acc8878.pth', map_location=torch.device('cpu')) # cpu 사용
+    model_state_dict = torch.load('sentiment7_model_acc0.9653.pth', map_location=torch.device('cpu')) # cpu 사용
     model.load_state_dict(model_state_dict)
     model.eval()
     return model, tokenizer