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| import time | |
| from toolbox import update_ui, get_conf, update_ui_lastest_msg | |
| from toolbox import check_packages, report_exception | |
| model_name = '云雀大模型' | |
| def validate_key(): | |
| YUNQUE_SECRET_KEY = get_conf("YUNQUE_SECRET_KEY") | |
| if YUNQUE_SECRET_KEY == '': return False | |
| return True | |
| def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=[], console_slience=False): | |
| """ | |
| ⭐ 多线程方法 | |
| 函数的说明请见 request_llms/bridge_all.py | |
| """ | |
| watch_dog_patience = 5 | |
| response = "" | |
| if validate_key() is False: | |
| raise RuntimeError('请配置YUNQUE_SECRET_KEY') | |
| from .com_skylark2api import YUNQUERequestInstance | |
| sri = YUNQUERequestInstance() | |
| for response in sri.generate(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, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream = True, additional_fn=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HUOSHAN_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) | |
| # 开始接收回复 | |
| from .com_skylark2api import YUNQUERequestInstance | |
| sri = YUNQUERequestInstance() | |
| response = f"[Local Message] 等待{model_name}响应中 ..." | |
| for response in sri.generate(inputs, llm_kwargs, history, system_prompt): | |
| chatbot[-1] = (inputs, response) | |
| yield from update_ui(chatbot=chatbot, history=history) | |
| # 总结输出 | |
| if response == f"[Local Message] 等待{model_name}响应中 ...": | |
| response = f"[Local Message] {model_name}响应异常 ..." | |
| history.extend([inputs, response]) | |
| yield from update_ui(chatbot=chatbot, history=history) |