Save/Load Tensorflow & sklearn pipelines from local and AWS S3

from pathlib import Pathpath = Path(<local path>)# WRITEwith path.open("wb") as f:    joblib.dump(model, f)# READwith path.open("rb") as f:    f.seek(0)    model = joblib.load(f)

import tempfileimport boto3import joblibs3_client = boto3.client('s3')bucket_name = "my-bucket"key = "model.pkl"# WRITEwith tempfile.TemporaryFile() as fp:    joblib.dump(model, fp)    fp.seek(0)    s3_client.put_object(Body=fp.read(), Bucket=bucket_name, Key=key)# READwith tempfile.TemporaryFile() as fp:    s3_client.download_fileobj(Fileobj=fp, Bucket=bucket_name, Key=key)    fp.seek(0)    model = joblib.load(fp)# DELETEs3_client.delete_object(Bucket=bucket_name, Key=key)