Update good_handler.py

good_handler.py

@@ -4,13 +4,15 @@ import torch
 
 #### USE of PIPELINE
 
+device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
+
 class EndpointHandler:
     def __init__(self, path=""):
-        self.pipe = pipeline(task='automatic-speech-recognition', model=path)
+        self.pipe = pipeline(task='automatic-speech-recognition', model=path, device=device)
         
         
     def __call__(self, data: Any) -> List[Dict[str, str]]:
-        print('==========NEW PROCESS=========')
+        inputs = data.pop("inputs", data)
         transcribe = self.pipe
         transcribe.model.config.forced_decoder_ids = transcribe.tokenizer.get_decoder_prompt_ids(language="ko", task="transcribe")
         result = transcribe(data['inputs'])