code: def text_pb(tag, data, description=None):
    
    try:
      tensor = tensor_util.make_tensor_proto(data, dtype=np.object)
    except TypeError as e:
      raise TypeError('tensor must be of type string', e)
    summary_metadata = metadata.create_summary_metadata(
        display_name=None, description=description)
    summary = summary_pb2.Summary()
    summary.value.add(tag=tag,
                      metadata=summary_metadata,
                      tensor=tensor)
    return summary
docs: Create a text tf.Summary protobuf.
  
    Arguments:
      tag: String tag for the summary.
      data: A Python bytestring (of type bytes), a Unicode string, or a numpy data
        array of those types.
      description: Optional long-form description for this summary, as a `str`.
        Markdown is supported. Defaults to empty.
  
    Raises:
      TypeError: If the type of the data is unsupported.
  
    Returns:
      A `tf.Summary` protobuf object.