Merge pull request #102 from makaveli10/change_model_size_param_name

Server to control custom model usage.

whisper_live/client.py

@@ -56,8 +56,7 @@ class Client:
         is_multilingual=False,
         lang=None,
         translate=False,
-        model_size="small",
+        model="small",
-        use_custom_model=False
     ):
         """
         Initializes a Client instance for audio recording and streaming to a server.
@@ -88,9 +87,8 @@ class Client:
         self.disconnect_if_no_response_for = 15
         self.multilingual = is_multilingual
         self.language = lang
-        self.model_size = model_size
+        self.model = model
         self.server_error = False
-        self.use_custom_model = use_custom_model
 
         if translate:
             self.task = "translate"
@@ -229,8 +227,7 @@ class Client:
                     "multilingual": self.multilingual,
                     "language": self.language,
                     "task": self.task,
-                    "model_size": self.model_size,
+                    "model": self.model,
-                    "use_custom_model": self.use_custom_model   # if runnning your own server with a custom model
                 }
             )
         )
@@ -521,10 +518,9 @@ class TranscriptionClient:
         is_multilingual=False,
         lang=None,
         translate=False,
-        model_size="small",
+        model="small",
-        use_custom_model=False
     ):
-        self.client = Client(host, port, is_multilingual, lang, translate, model_size, use_custom_model)
+        self.client = Client(host, port, is_multilingual, lang, translate, model)
 
     def __call__(self, audio=None, hls_url=None):
         """

whisper_live/server.py

@@ -6,7 +6,7 @@ import json
 import textwrap
 
 import logging
-# logging.basicConfig(level = logging.INFO)
+logging.basicConfig(level = logging.INFO)
 
 from websockets.sync.server import serve
 
@@ -100,9 +100,9 @@ class TranscriptionServer:
             return
         
         # validate custom model
-        if options["use_custom_model"]:
+        if custom_model_path is not None and os.path.exists(custom_model_path):
-            if custom_model_path is None or not os.path.exists(custom_model_path):
+            logging.info(f"Using custom model {custom_model_path}")
-                options["use_custom_model"] = False
+            options["model"] = custom_model_path
 
         client = ServeClient(
             websocket,
@@ -110,10 +110,9 @@ class TranscriptionServer:
             language=options["language"],
             task=options["task"],
             client_uid=options["uid"],
-            model_size_or_path=custom_model_path if options["use_custom_model"] else options["model_size"],
+            model=options["model"],
             initial_prompt=options.get("initial_prompt"),
             vad_parameters=options.get("vad_parameters"),
-            use_custom_model=options["use_custom_model"]
         )
         
         self.clients[websocket] = client
@@ -206,10 +205,9 @@ class ServeClient:
         multilingual=False,
         language=None,
         client_uid=None,
-        model_size_or_path="small",
+        model="small",
         initial_prompt=None,
         vad_parameters=None,
-        use_custom_model=False
         ):
         """
         Initialize a ServeClient instance.
@@ -230,13 +228,15 @@ class ServeClient:
         self.data = b""
         self.frames = b""
         self.model_sizes = [
-            "tiny", "base", "small", "medium", "large-v2", "large-v3"
+            "tiny", "tiny.en", "base", "base.en", "small", "small.en",
+            "medium", "medium.en", "large-v2", "large-v3",
         ]
+
         self.multilingual = multilingual
-        if not use_custom_model:
+        if not os.path.exists(model):
-            self.model_size_or_path = self.get_model_size(model_size_or_path)
+            self.model_size_or_path = self.get_model_size(model)
         else:
-            self.model_size_or_path = model_size_or_path
+            self.model_size_or_path = model
         
         self.language = language if self.multilingual else "en"
         self.task = task
@@ -246,7 +246,7 @@ class ServeClient:
         
         device = "cuda" if torch.cuda.is_available() else "cpu"
         
-        if self.model_size_or_path == None:
+        if self.model_size_or_path is None:
             return
         
         self.transcriber = WhisperModel(
@@ -302,12 +302,13 @@ class ServeClient:
             )
             return None
         
-        if model_size in ["large-v2", "large-v3"]:
+        if model_size.endswith("en") and self.multilingual:
-            self.multilingual = True
+            logging.info(f"Setting multilingual to false with {model_size} which is english only model.")
-            return model_size
+            self.multilingual = False
             
-        if not self.multilingual:
+        if not model_size.endswith("en") and not self.multilingual:
-            model_size = model_size + ".en"
+            logging.info(f"Setting multilingual to true with multilingual model {model_size}.")
+            self.multilingual = True
 
         return model_size