import time import openai import openai.error from bridge.reply import Reply, ReplyType from common.log import logger from common.token_bucket import TokenBucket from config import conf # OPENAI提供的画图接口 class OpenAIImage(object): def __init__(self): openai.api_base = conf().get("open_ai_api_base") openai.api_key = conf().get("open_ai_api_key") if conf().get("rate_limit_dalle"): self.tb4dalle = TokenBucket(conf().get("rate_limit_dalle", 50)) def create_img(self, query, retry_count=0, api_key=None, context=None): """ 参数: - context: 如果想要发送dalle3的revised_prompt,需要填写此参数 """ try: if conf().get("rate_limit_dalle") and not self.tb4dalle.get_token(): return False, "请求太快了,请休息一下再问我吧" logger.info("[OPEN_AI] image_query={}".format(query)) response = openai.Image.create( api_key=api_key, prompt=query, # 图片描述 n=1, # 每次生成图片的数量 model=conf().get("text_to_image") or "dall-e-2", # size=conf().get("image_create_size", "256x256"), # 图片大小,可选有 256x256, 512x512, 1024x1024 ) self.send_revised_prompt(context, response["data"][0].get("revised_prompt", ""), query) image_url = response["data"][0]["url"] logger.info("[OPEN_AI] image_url={}".format(image_url)) return True, image_url except openai.error.RateLimitError as e: logger.warn(e) if retry_count < 1: time.sleep(5) logger.warn("[OPEN_AI] ImgCreate RateLimit exceed, 第{}次重试".format(retry_count + 1)) return self.create_img(query, retry_count + 1, context=context) else: return False, "画图出现问题,请休息一下再问我吧" except Exception as e: logger.exception(e) return False, "画图出现问题,请休息一下再问我吧" def send_revised_prompt(self, context, revised_prompt, query): if not context or not revised_prompt: return try: channel = context.get("channel") reply = Reply(ReplyType.TEXT, f"revised_prompt:\n{revised_prompt}\n\n- - - - - - - - - - - -\n🎨 Dall-E画图:{query}") channel.send(reply, context) except Exception as e: logger.error(e)