code: def create_gradio_app(self):
      import gradio as gr
  
      def inference(text):
          results = self.cut(sentence=text)
          return results
  
      title = "jieba_paddle"
      description = "jieba_paddle is a word segmentation model based on paddlepaddle deep learning framework."
  
      examples = [["今天是个好日子"]]
      app = gr.Interface(
          inference,
          "text",
          [gr.outputs.Textbox(label="words")],
          title=title,
          description=description,
          examples=examples,
      )
      return app
  
file_path: PaddleHub/modules/text/lexical_analysis/jieba_paddle/module.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import logging
  import os
  import paddlehub
  from paddlehub.common.logger import logger
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import serving
label_desc: Use image node_id 3 for calling the JiebaPaddle obj's underlying member method code with example usage: obj.create_gradio_app() and returns: app, results