### Description

Replace the existing selects with multi-selects that allow you to filter multiple DAG run states and types at the same time, somewhat similar to my prototype:

![image](https://github.com/apache/airflow/assets/1842905/c4ec0793-1ccb-417d-989c-781997416f97)


### Use case/motivation

I'm not sure if it is just me, but sometimes I wish I was able to show multiple DAG run states, especially `running` and `failed`, at the same time. 
This would be especially helpful for busy DAGs on which I want to clear a few failed runs. Without the multi-select, if I switch from `failed` to `running` DAG runs, I need to orient myself again to find the run I just cleared (assuming there are lots of other running DAG runs). _With_ the multi-select, the DAG run I just cleared stays in the same spot and I can check the logs, while clearing some other failed runs.

I'm not sure we need a multi-select for DAG run types as well. I'd tend to say no, but maybe someone else has a use-case for that.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

num_runs = conf.getint("webserver", "default_dag_run_display_number")
        try:
            base_date = timezone.parse(request.args["base_date"], strict=True)
        except (KeyError, ValueError):
            base_date = dag.get_latest_execution_date() or timezone.utcnow()
        with create_session() as session:
            query = select(DagRun).where(DagRun.dag_id == dag.dag_id, DagRun.execution_date <= base_date)
        run_type = request.args.get("run_type")
        if run_type:
            query = query.where(DagRun.run_type == run_type)
        run_state = request.args.get("run_state")
        if run_state:
            query = query.where(DagRun.state == run_state)
        dag_runs = wwwutils.sorted_dag_runs(
            query, ordering=dag.timetable.run_ordering, limit=num_runs, session=session
        )
        encoded_runs = [wwwutils.encode_dag_run(dr, json_encoder=utils_json.WebEncoder) for dr in dag_runs]
        data = {
            "groups": dag_to_grid(dag, dag_runs, session),
            "dag_runs": encoded_runs,
            "ordering": dag.timetable.run_ordering,
        }
        
        return (
            htmlsafe_json_dumps(data, separators=(",", ":"), dumps=flask.json.dumps),
            {"Content-Type": "application/json; charset=utf-8"},
        )
    @expose("/object/historical_metrics_data")
    @auth.has_access_cluster_activity("GET")
    def historical_metrics_data(self):