code: def postprocess(pred, data_info):
      """
      Convert model's output tensor to pornography label
      """
      result = []
      for index in range(len(data_info[text_a_key])):
          result_i = {}
          result_i[text_a_key] = data_info[text_a_key][index]["origin"]
          result_i[text_b_key] = data_info[text_b_key][index]["origin"]
          result_i["similarity"] = float("%.4f" % pred[index][0])
          result.append(result_i)
      return result
  
label_desc: Use image node_id 3 for calling a global function with example usage: postprocess(pred, data_info) and returns: result