Update perv.py

perv.py

@@ -33,8 +33,7 @@ def run():
             preds = self.pipeline.predict(X)
             return self.label_encoder.inverse_transform(preds), time.time() - start_time
 
-    with torch.serialization.safe_globals([LabelEncoder]):
-        checkpoint = torch.load('lstm/model.pt', map_location=torch.device('cpu'), weights_only=False)
+    checkpoint = torch.load('models/lstm/model.pt', map_location=torch.device('cpu'))
 
     class Attention(nn.Module):
         def __init__(self, hidden_dim):