diff --git a/egs/grid/AVSR/lipnet_ctc_vsr/decode.py b/egs/grid/AVSR/lipnet_ctc_vsr/decode.py
index 6b535f156..3ed36f339 100644
--- a/egs/grid/AVSR/lipnet_ctc_vsr/decode.py
+++ b/egs/grid/AVSR/lipnet_ctc_vsr/decode.py
@@ -440,7 +440,7 @@ def main():
     else:
         G = None
 
-    model = LipNet(num_classes=max_token_id+1)
+    model = LipNet(num_classes=max_token_id + 1)
     if params.avg == 1:
         load_checkpoint(f"{params.exp_dir}/epoch-{params.epoch}.pt", model)
     else:
diff --git a/egs/grid/AVSR/lipnet_ctc_vsr/train.py b/egs/grid/AVSR/lipnet_ctc_vsr/train.py
index b0aab49ee..d8b7b3315 100644
--- a/egs/grid/AVSR/lipnet_ctc_vsr/train.py
+++ b/egs/grid/AVSR/lipnet_ctc_vsr/train.py
@@ -509,7 +509,7 @@ def run(rank, world_size, args):
         device = torch.device("cuda", rank)
 
     graph_compiler = CtcTrainingGraphCompiler(lexicon=lexicon, device=device)
-    model = LipNet(num_classes=max_token_id+1)
+    model = LipNet(num_classes=max_token_id + 1)
 
     checkpoints = load_checkpoint_if_available(params=params, model=model)