**Description**
The `airflow.models.baseoperator.chain()` is a very useful and convenient way to add sequential task dependencies in DAGs.  This function has [recently been updated](https://github.com/apache/airflow/issues/16635) to support `BaseOperator` and `XComArgs` but should also be able to support `Labels` as well.

**Use case / motivation**
Users who create tasks via the `@task` decorator will not be able to use the `chain()` function to apply sequential dependencies that do not share an `XComArg` implicit dependency with a `Label`.  This use case can occur when attempting to chain multiple branch labels and the next sequential task.

With the new update (yet to be released), users will receive the following exception when attempting to chain an `XComArg` and `Label`:

```bash
TypeError: Chain not supported between instances of <class 'airflow.utils.edgemodifier.EdgeModifier'> and <class 'airflow.models.xcom_arg.XComArg'>
```


**Are you willing to submit a PR?**
Absolutely. 🚀 

**Related Issues**
None

airflow/models/baseoperator.py
super().__setattr__(key, value)
        if self._lock_for_execution:
            
            return
        if self.__instantiated and key in self.template_fields:
            
            
            
            
            self.set_xcomargs_dependencies()
    def add_inlets(self, inlets: Iterable[Any]):
        """Sets inlets to this operator"""
        self._inlets.extend(inlets)
    def add_outlets(self, outlets: Iterable[Any]):
        """Defines the outlets of this operator"""
        self._outlets.extend(outlets)
    def get_inlet_defs(self):
        """:return: list of inlets defined for this operator"""
        return self._inlets
    def get_outlet_defs(self):