Update eval.py

eval.py

@@ -84,8 +84,10 @@ def main(args):
     # resample audio
     dataset = dataset.cast_column("audio", Audio(sampling_rate=sampling_rate))
 
-    # load eval pipeline
-    asr = pipeline("automatic-speech-recognition", model=args.model_id, device=0)
+    # load eval pipeline	
+    if args.device is None:	
+        args.device = 0 if torch.cuda.is_available() else -1	
+    asr = pipeline("automatic-speech-recognition", model=args.model_id, device=args.device)
 
     # map function to decode audio
     def map_to_pred(batch):
@@ -148,6 +150,12 @@ if __name__ == "__main__":
         action="store_true",
         help="If defined, write outputs to log file for analysis.",
     )
+    parser.add_argument(	
+        "--device",	
+        type=int,	
+        default=None,	
+        help="The device to run the pipeline on. -1 for CPU (default), 0 for the first GPU and so on.",	
+    )
     args = parser.parse_args()
 
     main(args)