refactor: reuse openai image interface

bot/chatgpt/chat_gpt_bot.py

@@ -1,6 +1,7 @@
 # encoding:utf-8
 
 from bot.bot import Bot
+from bot.openai.open_ai_image import OpenAIImage
 from bridge.context import ContextType
 from bridge.reply import Reply, ReplyType
 from config import conf, load_config
@@ -12,7 +13,7 @@ import time
 
 
 # OpenAI对话模型API (可用)
-class ChatGPTBot(Bot):
+class ChatGPTBot(Bot,OpenAIImage):
     def __init__(self):
         openai.api_key = conf().get('open_ai_api_key')
         if conf().get('open_ai_api_base'):
@@ -23,8 +24,6 @@ class ChatGPTBot(Bot):
             openai.proxy = proxy
         if conf().get('rate_limit_chatgpt'):
             self.tb4chatgpt = TokenBucket(conf().get('rate_limit_chatgpt', 20))
-        if conf().get('rate_limit_dalle'):
-            self.tb4dalle = TokenBucket(conf().get('rate_limit_dalle', 50))
 
     def reply(self, query, context=None):
         # acquire reply content
@@ -128,30 +127,6 @@ class ChatGPTBot(Bot):
             self.sessions.clear_session(session_id)
             return {"completion_tokens": 0, "content": "请再问我一次吧"}
 
-    def create_img(self, query, retry_count=0):
-        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(
-                prompt=query,    #图片描述
-                n=1,             #每次生成图片的数量
-                size="256x256"   #图片大小,可选有 256x256, 512x512, 1024x1024
-            )
-            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)
-            else:
-                return False, "提问太快啦，请休息一下再问我吧"
-        except Exception as e:
-            logger.exception(e)
-            return False, str(e)
 
 
 class AzureChatGPTBot(ChatGPTBot):