Update handler.py

handler.py

@@ -6,8 +6,8 @@ from datasets import load_dataset
 SAMPLE_RATE=16000
 class EndpointHandler():
     def __init__(self, path=""):
-        device = "cuda:0" if torch.cuda.is_available() else "cpu"
-        pipe = pipeline(
+        #device = "cuda:0" if torch.cuda.is_available() else "cpu"
+        self.pipe = pipeline(
           "automatic-speech-recognition",
           model="openai/whisper-large",
           chunk_length_s=30,