Get ready to add diarization to openvino backend.

requirements/server.txt

@@ -11,6 +11,7 @@ jiwer
 evaluate
 numpy>=1.26.4,<2.5
 openai-whisper==20250625
+pyannote.audio
 tokenizers==0.20.3
 transformers[torch]
 sentencepiece

whisper_live/backend/openvino_backend.py

@@ -28,6 +28,7 @@ class ServeClientOpenVINO(ServeClientBase):
         no_speech_thresh=0.45,
         clip_audio=False,
         same_output_threshold=10,
+        diarization=None,
     ):
         """
         Initialize a ServeClient instance.
@@ -56,6 +57,8 @@ class ServeClientOpenVINO(ServeClientBase):
             no_speech_thresh,
             clip_audio,
             same_output_threshold,
+            None,           # translation_queue — OpenVINO backend does not support translation
+            diarization,    # speaker diarization — passed through to base class
         )
         self.language = "en" if language is None else language
         if not self.language.startswith("<|"):

whisper_live/server.py

@@ -258,6 +258,7 @@ class TranscriptionServer:
                     no_speech_thresh=options.get("no_speech_thresh", 0.45),
                     clip_audio=options.get("clip_audio", False),
                     same_output_threshold=options.get("same_output_threshold", 10),
+                    diarization=self._create_diarizer(options),
                 )
                 logging.info("Running OpenVINO backend.")
             except Exception as e: