diff --git a/tools/asr/funasr_asr.py b/tools/asr/funasr_asr.py
index 103a2b9..11209ad 100644
--- a/tools/asr/funasr_asr.py
+++ b/tools/asr/funasr_asr.py
@@ -42,46 +42,47 @@ def execute_asr(input_folder, output_folder, model_size, language):
         print(f"ASR 任务完成->标注文件路径: {output_file_path}\n")
     return output_file_path
 
+
+parser = argparse.ArgumentParser()
+parser.add_argument("-i", "--input_folder", type=str, required=True,
+                    help="Path to the folder containing WAV files.")
+parser.add_argument("-o", "--output_folder", type=str, required=True,
+                    help="Output folder to store transcriptions.")
+parser.add_argument("-s", "--model_size", type=str, default='large',
+                    help="Model Size of FunASR is Large")
+parser.add_argument("-l", "--language", type=str, default='zh', choices=['zh','yue','auto'],
+                    help="Language of the audio files.")
+parser.add_argument("-p", "--precision", type=str, default='float16', choices=['float16','float32'],
+                    help="fp16 or fp32")#还没接入
+
+cmd = parser.parse_args()
+
+path_vad = 'tools/asr/models/speech_fsmn_vad_zh-cn-16k-common-pytorch'
+path_punc = 'tools/asr/models/punc_ct-transformer_zh-cn-common-vocab272727-pytorch'
+path_vad = path_vad if os.path.exists(path_vad) else "iic/speech_fsmn_vad_zh-cn-16k-common-pytorch"
+path_punc = path_punc if os.path.exists(path_punc) else "iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch"
+vad_model_revision=punc_model_revision="v2.0.4"
+
+if(cmd.language=="zh"):
+    path_asr = 'tools/asr/models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch'
+    path_asr = path_asr if os.path.exists(path_asr) else "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
+    model_revision="v2.0.4"
+else:
+    path_asr = 'tools/asr/models/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online'
+    path_asr = path_asr if os.path.exists(path_asr) else "iic/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online"
+    model_revision="master"
+    path_vad=path_punc=vad_model_revision=punc_model_revision=None###友情提示：粤语带VAD识别可能会有少量shape不对报错的，但是不带VAD可以.不带vad只能分阶段单独加标点。不过标点模型对粤语效果真的不行…
+
+model = AutoModel(
+    model=path_asr,
+    model_revision=model_revision,
+    vad_model=path_vad,
+    vad_model_revision=vad_model_revision,
+    punc_model=path_punc,
+    punc_model_revision=punc_model_revision,
+)
+
 if __name__ == '__main__':
-    parser = argparse.ArgumentParser()
-    parser.add_argument("-i", "--input_folder", type=str, required=True,
-                        help="Path to the folder containing WAV files.")
-    parser.add_argument("-o", "--output_folder", type=str, required=True, 
-                        help="Output folder to store transcriptions.")
-    parser.add_argument("-s", "--model_size", type=str, default='large',
-                        help="Model Size of FunASR is Large")
-    parser.add_argument("-l", "--language", type=str, default='zh', choices=['zh','yue'],
-                        help="Language of the audio files.")
-    parser.add_argument("-p", "--precision", type=str, default='float16', choices=['float16','float32'],
-                        help="fp16 or fp32")#还没接入
-
-    cmd = parser.parse_args()
-
-    path_vad = 'tools/asr/models/speech_fsmn_vad_zh-cn-16k-common-pytorch'
-    path_punc = 'tools/asr/models/punc_ct-transformer_zh-cn-common-vocab272727-pytorch'
-    path_vad = path_vad if os.path.exists(path_vad) else "iic/speech_fsmn_vad_zh-cn-16k-common-pytorch"
-    path_punc = path_punc if os.path.exists(path_punc) else "iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch"
-    vad_model_revision=punc_model_revision="v2.0.4"
-
-    if(cmd.language=="zh"):
-        path_asr = 'tools/asr/models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch'
-        path_asr = path_asr if os.path.exists(path_asr) else "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
-        model_revision="v2.0.4"
-    else:
-        path_asr = 'tools/asr/models/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online'
-        path_asr = path_asr if os.path.exists(path_asr) else "iic/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online"
-        model_revision="master"
-        path_vad=path_punc=vad_model_revision=punc_model_revision=None###友情提示：粤语带VAD识别可能会有少量shape不对报错的，但是不带VAD可以.不带vad只能分阶段单独加标点。不过标点模型对粤语效果真的不行…
-
-    model = AutoModel(
-        model=path_asr,
-        model_revision=model_revision,
-        vad_model=path_vad,
-        vad_model_revision=vad_model_revision,
-        punc_model=path_punc,
-        punc_model_revision=punc_model_revision,
-    )
-
     execute_asr(
         input_folder  = cmd.input_folder,
         output_folder = cmd.output_folder,