code: def WritingPoem(self, image, use_gpu=False):
      results_image = self.module_image.classification(paths=[image])
      PictureClassification = list(results_image[0].keys())[0]
      translator = Translator(to_lang="chinese")
      PictureClassification_ch = translator.translate(
          "{}".format(PictureClassification)
      )
      texts = ["{}".format(PictureClassification_ch)]
      results_keywords = self.module_similar.generate(
          texts=texts, use_gpu=use_gpu, beam_width=20
      )
      Words = []  # 将符合标准的近义词保存在这里（标准：字符串为中文且长度大于1）
      for item in range(20):
          if self.is_chinese(results_keywords[0][item]):
              Words.append(results_keywords[0][item])
      # 古诗的一句可以拆分成许多词语，因此这里先找到能合成古诗的词语
      FirstWord = Words[0] + Words[1]
      SecondWord = Words[2] + Words[3]
      ThirdWord = Words[4] + Words[5]
      FourthWord = Words[6] + Words[7]
      # 出句和对句，也可以理解为上下句（专业讲法是出句和对句，古诗词是中国传统文化，出句和对句的英文翻译即拼音）
      ChuJu = FirstWord + SecondWord  # 出句
      DuiJu = ThirdWord + FourthWord  # 对句
      FirstPoetry = ["{:.5}，{:.5}。".format(ChuJu, DuiJu)]  # 古诗词的上阕
      results = self.module_poem.generate(
          texts=FirstPoetry, use_gpu=use_gpu, beam_width=5
      )
      SecondPoetry = ["{:.12}".format(results[0][0])]
      poetry = []
      poetry.append(FirstPoetry)
      poetry.append(SecondPoetry)
      print("根据图片生成的古诗词：")
      print("{}".format(poetry[0][0]))
      print("{}".format(poetry[1][0]))
      results = [
          {
              "image": image,
              "poetry": "{}".format(poetry[0][0] + poetry[1][0]),
          }
      ]
  
      return results
  
file_path: PaddleHub/modules/text/text_generation/reading_pictures_writing_poems/module.py
imports: import argparse
  import ast
  import os
  from translate import Translator
  import paddlehub
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
label_desc: Use image node_id 3 for calling the ReadingPicturesWritingPoems obj's underlying member method code with example usage: obj.WritingPoem(image, use_gpu) and returns: results