docstr: Create image by text prompts using ErnieVilG model.
  
  :param text_prompts: Phrase, sentence, or string of words and phrases describing what the image should look like.
  :param style: Image stype, currently supported 古风、油画、水彩、卡通、二次元、浮世绘、蒸汽波艺术、
  low poly、像素风格、概念艺术、未来主义、赛博朋克、写实风格、洛丽塔风格、巴洛克风格、超现实主义、探索无限。
  :param topk: Top k images to save.
  :param visualization: Whether to save images or not.
  :output_dir: Output directory
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code: def generate_image(
      self,
      text_prompts,
      style: Optional[str] = "探索无限",
      topk: Optional[int] = 6,
      visualization: Optional[bool] = True,
      output_dir: Optional[str] = "ernievilg_output",
  ):
      """
      Create image by text prompts using ErnieVilG model.
  
      :param text_prompts: Phrase, sentence, or string of words and phrases describing what the image should look like.
      :param style: Image stype, currently supported 古风、油画、水彩、卡通、二次元、浮世绘、蒸汽波艺术、
      low poly、像素风格、概念艺术、未来主义、赛博朋克、写实风格、洛丽塔风格、巴洛克风格、超现实主义、探索无限。
      :param topk: Top k images to save.
      :param visualization: Whether to save images or not.
      :output_dir: Output directory
      """
      if not os.path.exists(output_dir):
          os.makedirs(output_dir, exist_ok=True)
      token = self.token
      create_url = "https://wenxin.baidu.com/younger/portal/api/rest/1.0/ernievilg/v1/txt2img?from=paddlehub"
      get_url = "https://wenxin.baidu.com/younger/portal/api/rest/1.0/ernievilg/v1/getImg?from=paddlehub"
      if isinstance(text_prompts, str):
          text_prompts = [text_prompts]
      taskids = []
      for text_prompt in text_prompts:
          res = requests.post(
              create_url,
              headers={
                  "Content-Type": "application/x-www-form-urlencoded"
              },
              data={
                  "access_token": token,
                  "text": text_prompt,
                  "style": style,
              },
          )
          res = res.json()
          if res["code"] == 4001:
              print("请求参数错误")
              raise RuntimeError("请求参数错误")
          elif res["code"] == 4002:
              print("请求参数格式错误，请检查必传参数是否齐全，参数类型等")
              raise RuntimeError("请求参数格式错误，请检查必传参数是否齐全，参数类型等")
          elif res["code"] == 4003:
              print("请求参数中，图片风格不在可选范围内")
              raise RuntimeError("请求参数中，图片风格不在可选范围内")
          elif res["code"] == 4004:
              print("API服务内部错误，可能引起原因有请求超时、模型推理错误等")
              raise RuntimeError("API服务内部错误，可能引起原因有请求超时、模型推理错误等")
          elif (
              res["code"] == 100
              or res["code"] == 110
              or res["code"] == 111
          ):
              self.token = self._apply_token(self.ak, self.sk)
              res = requests.post(
                  create_url,
                  headers={
                      "Content-Type": "application/x-www-form-urlencoded"
                  },
                  data={
                      "access_token": self.token,
                      "text": text_prompt,
                      "style": style,
                  },
              )
              res = res.json()
              if res["code"] != 0:
                  print("Token失效重新请求后依然发生错误，请检查输入的参数")
                  raise RuntimeError("Token失效重新请求后依然发生错误，请检查输入的参数")
          if res["msg"] == "success":
              taskids.append(res["data"]["taskId"])
          else:
              print(res["msg"])
              raise RuntimeError(res["msg"])
  
      start_time = time.time()
      process_bar = tqdm(total=100, unit="%")
      results = {}
      total_time = 60 * len(taskids)
      while True:
          end_time = time.time()
          duration = end_time - start_time
          progress_rate = int((duration) / total_time * 100)
          if not taskids:
              progress_rate = 100
          if progress_rate > process_bar.n:
              if progress_rate >= 100:
                  if not taskids:
                      increase_rate = 100 - process_bar.n
                  else:
                      increase_rate = 0
              else:
                  increase_rate = progress_rate - process_bar.n
          else:
              increase_rate = 0
          process_bar.update(increase_rate)
          if duration < 30:
              time.sleep(5)
              continue
          else:
              time.sleep(10)
          if not taskids:
              break
          has_done = []
          for taskid in taskids:
              res = requests.post(
                  get_url,
                  headers={
                      "Content-Type": "application/x-www-form-urlencoded"
                  },
                  data={"access_token": token, "taskId": {taskid}},
              )
              res = res.json()
              if res["code"] == 4001:
                  print("请求参数错误")
                  raise RuntimeError("请求参数错误")
              elif res["code"] == 4002:
                  print("请求参数格式错误，请检查必传参数是否齐全，参数类型等")
                  raise RuntimeError("请求参数格式错误，请检查必传参数是否齐全，参数类型等")
              elif res["code"] == 4003:
                  print("请求参数中，图片风格不在可选范围内")
                  raise RuntimeError("请求参数中，图片风格不在可选范围内")
              elif res["code"] == 4004:
                  print("API服务内部错误，可能引起原因有请求超时、模型推理错误等")
                  raise RuntimeError("API服务内部错误，可能引起原因有请求超时、模型推理错误等")
              elif (
                  res["code"] == 100
                  or res["code"] == 110
                  or res["code"] == 111
              ):
                  self.token = self._apply_token(self.ak, self.sk)
                  res = requests.post(
                      get_url,
                      headers={
                          "Content-Type": "application/x-www-form-urlencoded"
                      },
                      data={
                          "access_token": self.token,
                          "taskId": {taskid},
                      },
                  )
                  res = res.json()
                  if res["code"] != 0:
                      print("Token失效重新请求后依然发生错误，请检查输入的参数")
                      raise RuntimeError("Token失效重新请求后依然发生错误，请检查输入的参数")
              if res["msg"] == "success":
                  if res["data"]["status"] == 1:
                      has_done.append(res["data"]["taskId"])
                  results[res["data"]["text"]] = {
                      "imgUrls": res["data"]["imgUrls"],
                      "waiting": res["data"]["waiting"],
                      "taskId": res["data"]["taskId"],
                  }
              else:
                  print(res["msg"])
                  raise RuntimeError(res["msg"])
          for taskid in has_done:
              taskids.remove(taskid)
      print("Saving Images...")
      result_images = []
      for text, data in results.items():
          for idx, imgdata in enumerate(data["imgUrls"]):
              try:
                  image = Image.open(
                      BytesIO(requests.get(imgdata["image"]).content)
                  )
              except Exception as e:
                  print(
                      "Download generated images error, retry one time"
                  )
                  try:
                      image = Image.open(
                          BytesIO(
                              requests.get(imgdata["image"]).content
                          )
                      )
                  except Exception:
                      raise RuntimeError(
                          "Download generated images failed."
                      )
              if visualization:
                  image.save(
                      os.path.join(
                          output_dir, "{}_{}.png".format(text, idx)
                      )
                  )
              result_images.append(image)
              if idx + 1 >= topk:
                  break
      print("Done")
      return result_images
  
imports: import argparse
  import base64
  import os
  import time
  from io import BytesIO
  from typing import Optional
  import gradio
  import numpy
  import requests
  from PIL import Image
  from tqdm.auto import tqdm
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
label_desc: Use image node_id 3 for calling the ErnieVilG obj's underlying member method code with example usage: obj.generate_image(text_prompts, style, topk, visualization, output_dir) and returns: result_images