diff --git a/egs/librispeech/ASR/conformer_ctc/pretrained.py b/egs/librispeech/ASR/conformer_ctc/pretrained.py
index 3ed2d74e5..07d3e7269 100755
--- a/egs/librispeech/ASR/conformer_ctc/pretrained.py
+++ b/egs/librispeech/ASR/conformer_ctc/pretrained.py
@@ -59,7 +59,7 @@ def get_parser():
         type=str,
         required=True,
         help="Path to lang bpe dir.",
-    )    
+    )
 
     parser.add_argument(
         "--method",
@@ -325,7 +325,9 @@ def main():
             "attention-decoder",
         ]:
             logging.info(f"Loading HLG from {params.lang_dir}/HLG.pt")
-            HLG = k2.Fsa.from_dict(torch.load(params.lang_dir + "/HLG.pt", map_location="cpu"))
+            HLG = k2.Fsa.from_dict(
+                torch.load(params.lang_dir + "/HLG.pt", map_location="cpu")
+            )
             HLG = HLG.to(device)
             if not hasattr(HLG, "lm_scores"):
                 # For whole-lattice-rescoring and attention-decoder
@@ -390,7 +392,9 @@ def main():
                 best_path = next(iter(best_path_dict.values()))
 
             hyps = get_texts(best_path)
-            word_sym_table = k2.SymbolTable.from_file(params.lang_dir + "/words.txt")
+            word_sym_table = k2.SymbolTable.from_file(
+                params.lang_dir + "/words.txt"
+            )
             hyps = [[word_sym_table[i] for i in ids] for ids in hyps]
 
         s = "\n"