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https://github.com/zhayujie/chatgpt-on-wechat.git
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55 lines
2.1 KiB
Python
55 lines
2.1 KiB
Python
from bot.bot_factory import create_bot
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from bridge.context import Context
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from bridge.reply import Reply
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from common import const
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from common.log import logger
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from common.singleton import singleton
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from config import conf
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from translate.factory import create_translator
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from voice.factory import create_voice
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@singleton
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class Bridge(object):
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def __init__(self):
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self.btype = {
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"chat": const.CHATGPT,
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"voice_to_text": conf().get("voice_to_text", "openai"),
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"text_to_voice": conf().get("text_to_voice", "google"),
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"translate": conf().get("translate", "baidu"),
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}
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model_type = conf().get("model")
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if model_type in ["text-davinci-003"]:
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self.btype["chat"] = const.OPEN_AI
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if conf().get("use_azure_chatgpt", False):
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self.btype["chat"] = const.CHATGPTONAZURE
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self.bots = {}
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def get_bot(self, typename):
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if self.bots.get(typename) is None:
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logger.info("create bot {} for {}".format(self.btype[typename], typename))
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if typename == "text_to_voice":
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self.bots[typename] = create_voice(self.btype[typename])
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elif typename == "voice_to_text":
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self.bots[typename] = create_voice(self.btype[typename])
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elif typename == "chat":
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self.bots[typename] = create_bot(self.btype[typename])
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elif typename == "translate":
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self.bots[typename] = create_translator(self.btype[typename])
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return self.bots[typename]
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def get_bot_type(self, typename):
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return self.btype[typename]
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def fetch_reply_content(self, query, context: Context) -> Reply:
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return self.get_bot("chat").reply(query, context)
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def fetch_voice_to_text(self, voiceFile) -> Reply:
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return self.get_bot("voice_to_text").voiceToText(voiceFile)
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def fetch_text_to_voice(self, text) -> Reply:
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return self.get_bot("text_to_voice").textToVoice(text)
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def fetch_translate(self, text, from_lang="", to_lang="en") -> Reply:
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return self.get_bot("translate").translate(text, from_lang, to_lang)
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