diff --git a/modelscope/models/nlp/codegeex/codegeex_for_code_translation.py b/modelscope/models/nlp/codegeex/codegeex_for_code_translation.py
index be3e79f0..fece907d 100755
--- a/modelscope/models/nlp/codegeex/codegeex_for_code_translation.py
+++ b/modelscope/models/nlp/codegeex/codegeex_for_code_translation.py
@@ -98,7 +98,9 @@ class CodeGeeXForCodeTranslation(TorchModel):
                         generated_code = tokenizer.decode_code(
                             generated_tokens_[n_token_prompt:])
                         generated_code = ''.join(generated_code)
-                        logger.info('================================= Generated code:')
+                        logger.info(
+                            '================================= Generated code:'
+                        )
                         logger.info(generated_code)
                     if all(is_finished):
                         break
diff --git a/modelscope/models/nlp/codegeex/inference.py b/modelscope/models/nlp/codegeex/inference.py
index d058f023..38f14d6c 100755
--- a/modelscope/models/nlp/codegeex/inference.py
+++ b/modelscope/models/nlp/codegeex/inference.py
@@ -1,8 +1,9 @@
 # Copyright (c) 2022 Zhipu.AI
 
+from typing import List
+
 import torch
 import torch.nn.functional as F
-from typing import List
 
 
 def get_ltor_masks_and_position_ids(
@@ -124,7 +125,7 @@ def pad_batch(batch, pad_id, seq_length):
             tokens.extend([pad_id] * (seq_length - context_length))
         context_lengths.append(context_length)
     return batch, context_lengths
-    
+
 
 def get_token_stream(
     model,
diff --git a/modelscope/models/nlp/codegeex/tokenizer.py b/modelscope/models/nlp/codegeex/tokenizer.py
index cc507eb6..a5da9a3c 100755
--- a/modelscope/models/nlp/codegeex/tokenizer.py
+++ b/modelscope/models/nlp/codegeex/tokenizer.py
@@ -1,8 +1,9 @@
 # Copyright (c) 2022 Zhipu.AI
+from typing import List, Union
+
 import torch
 from transformers import AutoTokenizer
 from transformers.models.gpt2 import GPT2TokenizerFast
-from typing import List, Union
 
 
 def encode_whitespaces(text, start_extra_id: int, max_len: int):
diff --git a/modelscope/pipelines/nlp/codegeex_code_translation_pipeline.py b/modelscope/pipelines/nlp/codegeex_code_translation_pipeline.py
index f2bce381..ef0f29e0 100755
--- a/modelscope/pipelines/nlp/codegeex_code_translation_pipeline.py
+++ b/modelscope/pipelines/nlp/codegeex_code_translation_pipeline.py
@@ -28,9 +28,9 @@ class CodeGeeXCodeTranslationPipeline(Pipeline):
         self.model.cuda()
 
         super().__init__(model=model, **kwargs)
-        
+
     def preprocess(self, inputs, **preprocess_params) -> Dict[str, Any]:
-           return inputs
+        return inputs
 
     # define the forward pass
     def forward(self, inputs: Union[Dict], **forward_params) -> Dict[str, Any]:
diff --git a/tests/pipelines/test_CodeGeeX_code_translation.py b/tests/pipelines/test_CodeGeeX_code_translation.py
index a56ae00e..0972c494 100644
--- a/tests/pipelines/test_CodeGeeX_code_translation.py
+++ b/tests/pipelines/test_CodeGeeX_code_translation.py
@@ -17,10 +17,7 @@ class CodeGeeXCodeTranslationTest(unittest.TestCase, DemoCompatibilityCheck):
     @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
     def test_run_with_CodeGeeX_with_name(self):
         model = 'ZhipuAI/CodeGeeX-Code-Translation-13B'
-        pipe = pipeline(
-            task=Tasks.code_translation,
-            model=model
-        )
+        pipe = pipeline(task=Tasks.code_translation, model=model)
         inputs = {
             'prompt': 'for i in range(10):\n\tprint(i)\n',
             'source language': 'Python',