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