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import time |
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import openai |
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import openai.error |
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from common.log import logger |
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from common.token_bucket import TokenBucket |
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from config import conf |
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class OpenAIImage(object): |
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def __init__(self): |
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openai.api_key = conf().get("open_ai_api_key") |
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if conf().get("rate_limit_dalle"): |
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self.tb4dalle = TokenBucket(conf().get("rate_limit_dalle", 50)) |
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def create_img(self, query, retry_count=0, api_key=None): |
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try: |
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if conf().get("rate_limit_dalle") and not self.tb4dalle.get_token(): |
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return False, "请求太快了,请休息一下再问我吧" |
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logger.info("[OPEN_AI] image_query={}".format(query)) |
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response = openai.Image.create( |
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api_key=api_key, |
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prompt=query, |
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n=1, |
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model=conf().get("text_to_image") or "dall-e-2", |
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) |
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image_url = response["data"][0]["url"] |
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logger.info("[OPEN_AI] image_url={}".format(image_url)) |
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return True, image_url |
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except openai.error.RateLimitError as e: |
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logger.warn(e) |
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if retry_count < 1: |
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time.sleep(5) |
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logger.warn("[OPEN_AI] ImgCreate RateLimit exceed, 第{}次重试".format(retry_count + 1)) |
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return self.create_img(query, retry_count + 1) |
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else: |
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return False, "画图出现问题,请休息一下再问我吧" |
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except Exception as e: |
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logger.exception(e) |
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return False, "画图出现问题,请休息一下再问我吧" |
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