code: def create_gradio_app(self):
      import gradio as gr
  
      return gr.Interface(
          self.cut,
          gr.Text(label="text"),
          gr.JSON(label="results"),
          title="lac",
          allow_flagging="never",
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import argparse
  import ast
  import io
  import math
  import os
  import numpy
  import six
  from paddle.inference import Config
  from paddle.inference import create_predictor
  from .custom import Customization
  from .processor import load_kv_dict
  from .processor import parse_result
  from .processor import word_to_ids
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
  from paddlehub.utils.parser import txt_parser
  from paddlehub.utils.utils import sys_stdin_encoding
label_desc: Use image node_id 15 for calling the LAC obj's underlying member method code with example usage: obj.create_gradio_app() and returns: gr