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**Description**
- The `airflow serve_logs` command has been removed from the CLI as of 2.0.0
- When using `CeleryExecutor`, the `airflow celery worker` command runs the `serve_logs` process in the background.
- We should do the same with `airflow scheduler` command when using `LocalExecutor` or `SequentialExecutor`
 
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**Use case / motivation**
- This will allow for viewing task logs in the UI when using `LocalExecutor` or `SequentialExecutor` without elasticsearch configured.

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**Are you willing to submit a PR?**
Yes. Working with @dimberman .

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**Related Issues**
- https://github.com/apache/airflow/issues/14222
- https://github.com/apache/airflow/issues/13331

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airflow/cli/cli_parser.py
"""Creates and returns command line argument parser"""
    parser = DefaultHelpParser(prog="airflow", formatter_class=AirflowHelpFormatter)
    subparsers = parser.add_subparsers(dest='subcommand', metavar="GROUP_OR_COMMAND")
    subparsers.required = True
    command_dict = DAG_CLI_DICT if dag_parser else ALL_COMMANDS_DICT
    subparser_list = command_dict.keys()
    sub_name: str
    for sub_name in sorted(subparser_list):
        sub: CLICommand = command_dict[sub_name]
        _add_command(subparsers, sub)
    return parser
def _sort_args(args: Iterable[Arg]) -> Iterable[Arg]:
    """Sort subcommand optional args, keep positional args"""
    def get_long_option(arg: Arg):