Add default arguments in cls python api.

paddlespeech/cli/asr/infer.py

@@ -421,7 +421,7 @@ class ASRExecutor(BaseExecutor):
         device = parser_args.device
 
         try:
-            res = self(model, lang, sample_rate, config, ckpt_path, audio_file,
+            res = self(audio_file, model, lang, sample_rate, config, ckpt_path,
                        device)
             logger.info('ASR Result: {}'.format(res))
             return True
@@ -429,8 +429,14 @@ class ASRExecutor(BaseExecutor):
             logger.exception(e)
             return False
 
-    def __call__(self, model, lang, sample_rate, config, ckpt_path, audio_file,
-                 device):
+    def __call__(self,
+                 audio_file: os.PathLike,
+                 model: str='conformer_wenetspeech',
+                 lang: str='zh',
+                 sample_rate: int=16000,
+                 config: os.PathLike=None,
+                 ckpt_path: os.PathLike=None,
+                 device=paddle.get_device()):
         """
         Python API to call an executor.
         """

paddlespeech/cli/cls/infer.py

@@ -237,7 +237,7 @@ class CLSExecutor(BaseExecutor):
         device = parser_args.device
 
         try:
-            res = self(model_type, cfg_path, label_file, ckpt_path, audio_file,
+            res = self(audio_file, model_type, cfg_path, ckpt_path, label_file,
                        topk, device)
             logger.info('CLS Result:\n{}'.format(res))
             return True
@@ -245,8 +245,14 @@ class CLSExecutor(BaseExecutor):
             logger.exception(e)
             return False
 
-    def __call__(self, model, config, ckpt_path, label_file, audio_file, topk,
-                 device):
+    def __call__(self,
+                 audio_file: os.PathLike,
+                 model: str='panns_cnn14',
+                 config: Optional[os.PathLike]=None,
+                 ckpt_path: Optional[os.PathLike]=None,
+                 label_file: Optional[os.PathLike]=None,
+                 topk: int=1,
+                 device: str=paddle.get_device()):
         """
             Python API to call an executor.
         """

paddlespeech/cli/st/infer.py

@@ -326,16 +326,23 @@ class STExecutor(BaseExecutor):
         device = parser_args.device
 
         try:
-            res = self(model, src_lang, tgt_lang, sample_rate, config,
-                       ckpt_path, audio_file, device)
+            res = self(audio_file, model, src_lang, tgt_lang, sample_rate,
+                       config, ckpt_path, device)
             logger.info("ST Result: {}".format(res))
             return True
         except Exception as e:
             logger.exception(e)
             return False
 
-    def __call__(self, model, src_lang, tgt_lang, sample_rate, config,
-                 ckpt_path, audio_file, device):
+    def __call__(self,
+                 audio_file: os.PathLike,
+                 model: str='fat_st_ted',
+                 src_lang: str='en',
+                 tgt_lang: str='zh',
+                 sample_rate: int=16000,
+                 config: Optional[os.PathLike]=None,
+                 ckpt_path: Optional[os.PathLike]=None,
+                 device: str=paddle.get_device()):
         """
             Python API to call an executor.
         """

paddlespeech/cli/text/infer.py

@@ -265,9 +265,9 @@ class TextExecutor(BaseExecutor):
             task: str='punc',
             model: str='ernie_linear_wudao',
             lang: str='zh',
-            config: os.PathLike=None,
-            ckpt_path: os.PathLike=None,
-            punc_vocab: os.PathLike=None,
+            config: Optional[os.PathLike]=None,
+            ckpt_path: Optional[os.PathLike]=None,
+            punc_vocab: Optional[os.PathLike]=None,
             device: str=paddle.get_device(), ):
         """
             Python API to call an executor.

paddlespeech/cli/tts/infer.py

@@ -616,7 +616,7 @@ class TTSExecutor(BaseExecutor):
                  voc_ckpt: Optional[os.PathLike]=None,
                  voc_stat: Optional[os.PathLike]=None,
                  lang: str='zh',
-                 device: str='gpu',
+                 device: str=paddle.get_device(),
                  output: str='output.wav'):
         """
         Python API to call an executor.