Update handler.py

handler.py

@@ -10,14 +10,7 @@ class EndpointHandler:
         self.model = WhisperModel(model_size, device="cuda", compute_type="float16")
 
     def __call__(self, data: Dict) -> Dict[str, str]:
-        # Process the input data expected to be in 'inputs' key containing audio file bytes
-        audio_bytes = data["inputs"]
-        
-        # Convert bytes to a file-like object
-        audio_file = io.BytesIO(audio_bytes)
-        
-        # Perform transcription using the model
-        segments, info = self.model.transcribe(audio_file)
+        segments, info = self.model.transcribe(data["inputs"])
         
         # Compile the results into a text string and extract language information
         # Strip whitespace from each segment before joining them