**Apache Airflow version**:
2.1.0

**What happened**:
When printing emoji to a DAG log, the Airflow dashboard fails to display the entire log.
When checking the output log in the Airflow dashboard, the following error message appears:

> *** Failed to load local log file: /tmp/dag_name/task_name/2021-07-06T10:49:18.136953+00:00/1.log
> *** 'ascii' codec can't decode byte 0xf0 in position 3424: ordinal not in range(128)

**What you expected to happen**:
The log should be displayed.

<!-- What do you think went wrong? -->


**How to reproduce it**:
Insert the following into any Python DAG, then run it.
`print("💼")`

**How often does this problem occur?**
Every log with an emoji in it prints an error.

**Why would anyone even want to print emoji in their logs?**
When they're part of the dataset you're processing.
airflow/utils/log/file_task_handler.py
return False
    def _read(self, ti, try_number, metadata=None):
        """
        Template method that contains custom logic of reading
        logs given the try_number.
        :param ti: task instance record
        :param try_number: current try_number to read log from
        :param metadata: log metadata,
                         can be used for steaming log reading and auto-tailing.
        :return: log message as a string and metadata.
        """
        
        
        
        log_relative_path = self._render_filename(ti, try_number)
        location = os.path.join(self.local_base, log_relative_path)