code: def create_gradio_app(self):
      import gradio as gr
  
      def inference(image):
          img, _ = self.predict(image.name)
          return img
  
      title = "DeOldify"
      interface = gr.Interface(
          inference,
          inputs=gr.inputs.Image(type="file"),
          outputs=gr.outputs.Image(type="numpy"),
          title=title,
          allow_flagging="never",
      )
      return interface
  
imports: import glob
  import os
  import cv2
  import numpy
  import paddle
  import paddle.nn
  from PIL import Image
  from tqdm import tqdm
  from .None import utils
  from .base_module import build_model
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import serving
label_desc: Use image node_id 9 for calling the DeOldifyPredictor obj's underlying member method code with example usage: obj.create_gradio_app() and returns: interface, img