### Apache Airflow version

main (development)

### What happened

On the Task Instances table, one can click on `Edit Record` and be directed to a `Edit Task Instance` page. There, if you try to change the state, it will simply not update nor are there any errors in the browser console.


<img width="608" alt="Screen Shot 2022-01-04 at 10 10 52 AM" src="https://user-images.githubusercontent.com/4600967/148101472-fb6076fc-3fc3-44c4-a022-6625d5112551.png">


### What you expected to happen

Changes to state should actually update the task instance.

### How to reproduce

Try to use the `Edit Task Instance` page

### Operating System

Mac OSx

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

This page is redundant, as a user can successfully edit task instance states from the table. Instead of wiring up the correct actions, I say we should just remove the `Edit Task Instance` page entirely.

### Are you willing to submit 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)

try_count = ti.prev_attempted_tries if ti.prev_attempted_tries != 0 else ti.try_number
            task_dict = alchemy_to_dict(ti) or {}
            task_dict["end_date"] = task_dict["end_date"] or timezone.utcnow()
            task_dict["extraLinks"] = dag.get_task(ti.task_id).extra_links
            task_dict["try_number"] = try_count
            task_dict["execution_date"] = dttm.isoformat()
            task_dict["run_id"] = dag_run_id
            tasks.append(task_dict)
        tf_count = 0
        try_count = 1
        prev_task_id = ""
        for failed_task_instance in ti_fails:
            if not dag.has_task(failed_task_instance.task_id):
                continue
            if tf_count != 0 and failed_task_instance.task_id == prev_task_id:
                try_count += 1
            else:
                try_count = 1
            prev_task_id = failed_task_instance.task_id
            tf_count += 1
            task = dag.get_task(failed_task_instance.task_id)
            task_dict = alchemy_to_dict(failed_task_instance) or {}
            end_date = task_dict["end_date"] or timezone.utcnow()
            task_dict["end_date"] = end_date
            task_dict["start_date"] = task_dict["start_date"] or end_date
            task_dict["state"] = State.FAILED
            task_dict["operator"] = task.operator_name
            task_dict["try_number"] = try_count
            task_dict["extraLinks"] = task.extra_links
            task_dict["execution_date"] = dttm.isoformat()