HTTP API: how to load recently trained model

what is returned by the train API is a byte array

model = requests.post(‘http://localhost:8003/model/train’,headers=headers,data=json.dumps(data)).content

something like

b’\x1f\x8b\x08\x08 \xfa\xa6]\x02\xff20191016-163816.tar\x00\xec\xbdY\x8f\xabZ\xba \x98\xcf\xf9\x1fZ\x8aJ\xa9\x95U\xf2\xc9c\xf0\x88S}\xfa6`\xb0\x99lFc\*ma\xc0\x183\x1a0\x06J%\xf5K\xff\x88~\xec\x7f\xda\x0b\xec\x18w8\x8c\xed\xd8\xe7\xde\xea\xce-\x9d\x13\x11\x0c\x8b\xf5\xad\xf5\xcd\xd32\xc2\xd8j\xff\xe5\xd7\xfe\x83\xc0\xbf\xe1\xb0\xff\x97\xff\x13\xfc\xfe\xbf\xfc\xdf\xff\xd7\xff\xf3\xfc\x13z\xfd\xf7\x17\xb8\xdb\xef\xc3\xfda\x1f\xeaA\x7f\x81\xe0N\x0f<\xfe\xd4\xff\xcb\x9f\xf0\xef\x90\xa4z\xfc\xf4\xf4\x17\xb8\xd7\x85\xa1\xce\xe0\xe2s\xd7\xee?\x03\xf2\xfc\xf3…

what i want is the name alone so that i can persist that tar file somewhere else with same name with timestamp

how can i extract out the filename alone ??