import time import os from toolbox import update_ui, get_conf, update_ui_lastest_msg, log_chat from toolbox import check_packages, report_exception, have_any_recent_upload_image_files from toolbox import ChatBotWithCookies model_name = '智谱AI大模型' zhipuai_default_model = 'glm-4' def validate_key(): ZHIPUAI_API_KEY = get_conf("ZHIPUAI_API_KEY") if ZHIPUAI_API_KEY == '': return False return True def make_media_input(inputs, image_paths): for image_path in image_paths: inputs = inputs + f'

' return inputs def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=[], console_slience:bool=False): """ ⭐多线程方法 函数的说明请见 request_llms/bridge_all.py """ watch_dog_patience = 5 response = "" if llm_kwargs["llm_model"] == "zhipuai": llm_kwargs["llm_model"] = zhipuai_default_model if validate_key() is False: raise RuntimeError('请配置ZHIPUAI_API_KEY') # 开始接收回复 from .com_zhipuglm import ZhipuChatInit zhipu_bro_init = ZhipuChatInit() for chunk, response in zhipu_bro_init.generate_chat(inputs, llm_kwargs, history, sys_prompt): if len(observe_window) >= 1: observe_window[0] = response if len(observe_window) >= 2: if (time.time() - observe_window[1]) > watch_dog_patience: raise RuntimeError("程序终止。") return response def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWithCookies, history:list=[], system_prompt:str='', stream:bool=True, additional_fn:str=None): """ ⭐单线程方法 函数的说明请见 request_llms/bridge_all.py """ chatbot.append([inputs, ""]) yield from update_ui(chatbot=chatbot, history=history) # 尝试导入依赖,如果缺少依赖,则给出安装建议 try: check_packages(["zhipuai"]) except: yield from update_ui_lastest_msg(f"导入软件依赖失败。使用该模型需要额外依赖,安装方法```pip install --upgrade zhipuai```。", chatbot=chatbot, history=history, delay=0) return if validate_key() is False: yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置ZHIPUAI_API_KEY", chatbot=chatbot, history=history, delay=0) return if additional_fn is not None: from core_functional import handle_core_functionality inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot) chatbot[-1] = [inputs, ""] yield from update_ui(chatbot=chatbot, history=history) if llm_kwargs["llm_model"] == "zhipuai": llm_kwargs["llm_model"] = zhipuai_default_model if llm_kwargs["llm_model"] in ["glm-4v"]: have_recent_file, image_paths = have_any_recent_upload_image_files(chatbot) if not have_recent_file: chatbot.append((inputs, "没有检测到任何近期上传的图像文件,请上传jpg格式的图片,此外,请注意拓展名需要小写")) yield from update_ui(chatbot=chatbot, history=history, msg="等待图片") # 刷新界面 return if have_recent_file: inputs = make_media_input(inputs, image_paths) chatbot[-1] = [inputs, ""] yield from update_ui(chatbot=chatbot, history=history) # 开始接收回复 from .com_zhipuglm import ZhipuChatInit zhipu_bro_init = ZhipuChatInit() for chunk, response in zhipu_bro_init.generate_chat(inputs, llm_kwargs, history, system_prompt): chatbot[-1] = [inputs, response] yield from update_ui(chatbot=chatbot, history=history) history.extend([inputs, response]) log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=response) yield from update_ui(chatbot=chatbot, history=history)