code: def WritingPoem(self, images, use_gpu=False):
      # 目标检测，输入图片，输入得分最高的标签
      results_image = self.module_image.predict(images=images)
      best = {"score": 0, "category": "none"}
      for item in results_image:
          for items in item:
              if items["score"] > best["score"]:
                  best["score"], best["category"] = (
                      items["score"],
                      items["category"],
                  )
      if best["category"] == "MoonCake":
          objects = ["月饼"]
      elif best["category"] == "moon":
          objects = ["月亮"]
      elif best["category"] == "lantern":
          objects = ["灯笼"]
      elif best["category"] == "rabbit":
          objects = ["兔子"]
      else:
          objects = ["中秋节"]
      # 根据关键词生成古诗上阕
      FirstPoetrys = self.module_similar.generate(
          texts=objects, use_gpu=True, beam_width=5
      )
      FirstPoetry = [FirstPoetrys[0][0]]
      # 调用古诗生成模型，使用上阕生成下阕
      SecondPoetry = self.module_poem.generate(
          texts=FirstPoetry, use_gpu=True, beam_width=5
      )
      Poetrys = []
      Poetrys.append(FirstPoetry[0])
      Poetrys.append(SecondPoetry[0][0])
      results = [
          {
              "images": images,
              "Poetrys": "{}".format(Poetrys[0] + Poetrys[1]),
          }
      ]
  
      return results
  
imports: import argparse
  import ast
  import os
  import math
  import six
  from paddle.fluid.core import PaddleTensor, AnalysisConfig, create_paddle_predictor
  from paddlehub.module.module import runnable, serving, moduleinfo
  from paddlehub.io.parser import txt_parser
  import numpy
  import paddle.fluid
  import paddlehub
  from translate import Translator
  import reading_pictures_writing_poems_for_midautumn.MidAutumnDetection.module
  import reading_pictures_writing_poems_for_midautumn.MidAutumnPoetry.module
label_desc: Use image node_id 2 for calling the ReadingPicturesWritingPoems obj's underlying member method code with example usage: obj.WritingPoem(images, use_gpu) and returns: results