code: def __init__(self, outputs, **kwargs):
      super().__init__(
          inputs=input_module.TextInput(), outputs=outputs, **kwargs
      )
  
imports: from pathlib import Path
  from typing import Optional
  from typing import Type
  from typing import Union
  from autokeras import auto_model
  from autokeras import blocks
  from autokeras import nodes
  from autokeras.engine import tuner
  from autokeras.tuners import greedy
  from autokeras.tuners import task_specific
  from autokeras.utils import types
label_desc: Use image node_id 1 to create a new SupervisedTextPipeline object from inherited base classes: auto_model with example: obj = SupervisedTextPipeline(outputs)