refactor: include additional parameters

Refactor ServeClientBase and its subclasses to include additional parameters for segment handling and audio clipping.

whisper_live/backend/trt_backend.py

@@ -11,7 +11,20 @@ class ServeClientTensorRT(ServeClientBase):
     SINGLE_MODEL = None
     SINGLE_MODEL_LOCK = threading.Lock()
 
-    def __init__(self, websocket, task="transcribe", multilingual=False, language=None, client_uid=None, model=None, single_model=False):
+    def __init__(
+        self,
+        websocket,
+        task="transcribe",
+        multilingual=False,
+        language=None,
+        client_uid=None,
+        model=None,
+        single_model=False,
+        send_last_n_segments=10,
+        no_speech_thresh=0.45,
+        clip_audio=False,
+        same_output_threshold=10,
+    ):
         """
         Initialize a ServeClient instance.
         The Whisper model is initialized based on the client's language and device availability.
@@ -26,9 +39,19 @@ class ServeClientTensorRT(ServeClientBase):
             language (str, optional): The language for transcription. Defaults to None.
             client_uid (str, optional): A unique identifier for the client. Defaults to None.
             single_model (bool, optional): Whether to instantiate a new model for each client connection. Defaults to False.
-
+            send_last_n_segments (int, optional): Number of most recent segments to send to the client. Defaults to 10.
+            no_speech_thresh (float, optional): Segments with no speech probability above this threshold will be discarded. Defaults to 0.45.
+            clip_audio (bool, optional): Whether to clip audio with no valid segments. Defaults to False.
+            same_output_threshold (int, optional): Number of repeated outputs before considering it as a valid segment. Defaults to 10.
         """
-        super().__init__(client_uid, websocket)
+        super().__init__(
+            client_uid,
+            websocket,
+            send_last_n_segments,
+            no_speech_thresh,
+            clip_audio,
+            same_output_threshold,
+        )
         self.language = language if multilingual else "en"
         self.task = task
         self.eos = False