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- import time
- import openai
- from openai import OpenAI
- from common.log import logger
- from common.token_bucket import TokenBucket
- from config import conf
- client = OpenAI(api_key=conf().get("open_ai_api_key"),
- base_url=conf().get("open_ai_api_base", "https://api.openai.com/v1"))
- # OPENAI提供的画图接口
- class OpenAIImage(object):
- def __init__(self):
- 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, api_base=None):
- 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 = client.images.generate(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")
- image_url = response.data[0].url
- logger.info("[OPEN_AI] image_url={}".format(image_url))
- return True, image_url
- except openai.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)
- 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"
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