code: def single_x_classification(self, x: np.ndarray):
      data_processor = self.data_processor
  
      if data_processor.preprocess_fn:
          x = data_processor.preprocess(x, **self.preprocess_conf)
      x = self.model(x)
      if data_processor.postprocess_fn:
          x = data_processor.postprocess(x, **self.postprocess_conf)
      return x
  
file_path: chitra/chitra/serve/app.py
imports: from typing import Callable, List, Optional, Union
  import gradio
  import numpy
  from chitra.__about__ import documentation_url
  from chitra.serve import constants
  from chitra.serve.base import ModelServer
label_desc: Use image node_id 4 for calling the GradioApp obj's underlying member method code with example usage: obj.single_x_classification(x) and returns: x