Merge pull request #274 from makaveli10/fallback_to_fp32

Set compute_type based on device capability.

whisper_live/server.py

@@ -787,9 +787,15 @@ def __init__(self, websocket, task="transcribe", device=None, language=None, cli
         self.no_speech_thresh = 0.45
 
         device = "cuda" if torch.cuda.is_available() else "cpu"
+        if device == "cuda":
+            major, _ = torch.cuda.get_device_capability(device)
+            self.compute_type = "float16" if major >= 7 else "float32"
+        else:
+            self.compute_type = "int8"
 
         if self.model_size_or_path is None:
             return
+        logging.info(f"Using Device={device} with precision {self.compute_type}")
 
         if single_model:
             if ServeClientFasterWhisper.SINGLE_MODEL is None:
@@ -822,7 +828,7 @@ def create_model(self, device):
         self.transcriber = WhisperModel(
             self.model_size_or_path,
             device=device,
-            compute_type="int8" if device == "cpu" else "float16",
+            compute_type=self.compute_type,
             local_files_only=False,
         )