Update handler.py

handler.py

@@ -12,7 +12,6 @@ class EndpointHandler:
 
     def __init__(self, asr_model_path: str = "./whisper-large-v2"):
         device = 0 if torch.cuda.is_available() else -1
-        device = -1
         print("Using device:", device)
         # Create an ASR pipeline using the model located in the specified directory
         self.asr_pipeline = pipeline(
@@ -49,3 +48,4 @@ class EndpointHandler:
         json.dump(transcription, result)
 
         return result.getvalue()
+