[Cli]optimize the cli, add --yes, and delete transformer_aishell (#1154)

* optimize the cli/asr,test=asr

* test=doc_fix

paddlespeech/cli/asr/infer.py

@@ -40,7 +40,7 @@ __all__ = ['ASRExecutor']
 
 pretrained_models = {
     # The tags for pretrained_models should be "{model_name}[_{dataset}][-{lang}][-...]".
-    # e.g. "conformer_wenetspeech-zh-16k", "transformer_aishell-zh-16k" and "panns_cnn6-32k".
+    # e.g. "conformer_wenetspeech-zh-16k" and "panns_cnn6-32k".
     # Command line and python api use "{model_name}[_{dataset}]" as --model, usage:
     # "paddlespeech asr --model conformer_wenetspeech --lang zh --sr 16000 --input ./input.wav"
     "conformer_wenetspeech-zh-16k": {
@@ -53,16 +53,6 @@ pretrained_models = {
         'ckpt_path':
         'exp/conformer/checkpoints/wenetspeech',
     },
-    "transformer_aishell-zh-16k": {
-        'url':
-        'https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/transformer.model.tar.gz',
-        'md5':
-        '4e8b63800c71040b9390b150e2a5d4c4',
-        'cfg_path':
-        'conf/transformer.yaml',
-        'ckpt_path':
-        'exp/transformer/checkpoints/avg_20',
-    }
 }
 
 model_alias = {
@@ -111,6 +101,11 @@ class ASRExecutor(BaseExecutor):
             type=str,
             default=None,
             help='Checkpoint file of model.')
+        self.parser.add_argument(
+            '--yes','-y',
+            action="store_true",
+            default=False,
+            help='No additional parameters required. Once set this parameter, it means accepting the request of the program by default, which includes transforming the audio sample rate')
         self.parser.add_argument(
             '--device',
             type=str,
@@ -350,7 +345,7 @@ class ASRExecutor(BaseExecutor):
         audio = np.round(audio).astype("int16")
         return audio
 
-    def _check(self, audio_file: str, sample_rate: int):
+    def _check(self, audio_file: str, sample_rate: int, force_yes: bool):
         self.sample_rate = sample_rate
         if self.sample_rate != 16000 and self.sample_rate != 8000:
             logger.error("please input --sr 8000 or --sr 16000")
@@ -384,6 +379,7 @@ class ASRExecutor(BaseExecutor):
                             If the result does not meet your expectations，\n \
                             Please input the 16k 16 bit 1 channel wav file. \
                         ".format(self.sample_rate, self.sample_rate))
+            if force_yes == False:
                 while (True):
                     logger.info(
                         "Whether to change the sample rate and the channel. Y: change the sample. N: exit the prgream."
@@ -418,10 +414,11 @@ class ASRExecutor(BaseExecutor):
         config = parser_args.config
         ckpt_path = parser_args.ckpt_path
         audio_file = parser_args.input
+        force_yes = parser_args.yes
         device = parser_args.device
 
         try:
-            res = self(audio_file, model, lang, sample_rate, config, ckpt_path,
+            res = self(audio_file, model, lang, sample_rate, config, ckpt_path, force_yes,
                        device)
             logger.info('ASR Result: {}'.format(res))
             return True
@@ -436,12 +433,13 @@ class ASRExecutor(BaseExecutor):
                  sample_rate: int=16000,
                  config: os.PathLike=None,
                  ckpt_path: os.PathLike=None,
+                 force_yes: bool=False,
                  device=paddle.get_device()):
         """
         Python API to call an executor.
         """
         audio_file = os.path.abspath(audio_file)
-        self._check(audio_file, sample_rate)
+        self._check(audio_file, sample_rate, force_yes)
         paddle.set_device(device)
         self._init_from_path(model, lang, sample_rate, config, ckpt_path)
         self.preprocess(model, audio_file)