fix: incorrect typing of mic name arg

common/speech/lasr_speech_recognition_whisper/nodes/transcribe_microphone_server

@@ -17,14 +17,24 @@ from lasr_speech_recognition_whisper import load_model  # type: ignore
 
 @dataclass
 class speech_model_params:
-    """Class for storing speech recognition model parameters."""
+    """Class for storing speech recognition model parameters.
+
+    Args:
+        model_name (str, optional): Name of the speech recognition model. Defaults to "medium.en".
+        Must be a valid Whisper model name.
+        device (str, optional): Device to run the model on. Defaults to "cuda" if available, otherwise "cpu".
+        start_timeout (float): Max number of seconds of silence when starting listening before stopping. Defaults to 5.0.
+        end_timeout (Optional[float]): Max number of seconds of silence after starting listening before stopping. Defaults to None.
+        sample_rate (int): Sample rate of the microphone. Defaults to 16000Hz.
+        mic_device (Optional[str]): Microphone device index or name. Defaults to None.
+    """
 
     model_name: str = "medium.en"
     device: str = "cuda" if torch.cuda.is_available() else "cpu"
     start_timeout: float = 5.0
     end_timeout: Optional[float] = None
     sample_rate: int = 16000
-    mic_device: Optional[Union[int, str]] = None
+    mic_device: Optional[str] = None
 
 
 class TranscribeSpeechAction(object):
@@ -66,15 +76,15 @@ class TranscribeSpeechAction(object):
         Returns: microphone object
         """
 
-        if (
-            isinstance(self._model_params.mic_device, int)
-            or self._model_params.mic_device.isdigit()
-        ):
+        if self._model_params.mic_device is None:
+            # If no microphone device is specified, use the system default microphone
+            return sr.Microphone(sample_rate=self._model_params.sample_rate)
+        elif self._model_params.mic_device.isdigit():
             return sr.Microphone(
                 device_index=int(self._model_params.mic_device),
                 sample_rate=self._model_params.sample_rate,
             )
-        elif isinstance(self._model_params.mic_device, str):
+        else:
             microphones = enumerate(sr.Microphone.list_microphone_names())
             for index, name in microphones:
                 if self._model_params.mic_device in name:
@@ -85,8 +95,6 @@ class TranscribeSpeechAction(object):
             raise ValueError(
                 f"Could not find microphone with name: {self._model_params.mic_device}"
             )
-        # If no microphone device is specified, use the system default microphone
-        return sr.Microphone(sample_rate=self._model_params.sample_rate)
 
     def _configure_recogniser(self, ambient_adj: bool = True) -> sr.Recognizer:
         """Configures the speech recogniser object.
@@ -186,8 +194,9 @@ def parse_args() -> dict:
     )
     parser.add_argument(
         "--mic_device",
+        type=str,
         default=None,
-        help="Microphone device index or name. Can be a string or an integer.",
+        help="Microphone device index or name",
     )
 
     return vars(parser.parse_args())