Update handler.py

handler.py

@@ -23,7 +23,7 @@ class EndpointHandler():
         audio_tensor = torch.from_numpy(audio_nparray)
         
         prediction = pipe(audio_nparray, return_timestamps=True)
-        return {"text": prediction[0]["transcription"]}
+        return {"text": prediction[0]}
         
         # we can also return timestamps for the predictions
         #prediction = pipe(sample, return_timestamps=True)["chunks"]