93 lines
3.7 KiB
Python
93 lines
3.7 KiB
Python
import time
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import os
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from toolbox import update_ui, get_conf, update_ui_lastest_msg
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from toolbox import check_packages, report_exception, have_any_recent_upload_image_files
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model_name = '智谱AI大模型'
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zhipuai_default_model = 'glm-4'
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def validate_key():
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ZHIPUAI_API_KEY = get_conf("ZHIPUAI_API_KEY")
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if ZHIPUAI_API_KEY == '': return False
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return True
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def make_media_input(inputs, image_paths):
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for image_path in image_paths:
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inputs = inputs + f'<br/><br/><div align="center"><img src="file={os.path.abspath(image_path)}"></div>'
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return inputs
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def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=[], console_slience=False):
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"""
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⭐多线程方法
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函数的说明请见 request_llms/bridge_all.py
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"""
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watch_dog_patience = 5
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response = ""
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if llm_kwargs["llm_model"] == "zhipuai":
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llm_kwargs["llm_model"] = zhipuai_default_model
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if validate_key() is False:
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raise RuntimeError('请配置ZHIPUAI_API_KEY')
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# 开始接收回复
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from .com_zhipuglm import ZhipuChatInit
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zhipu_bro_init = ZhipuChatInit()
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for chunk, response in zhipu_bro_init.generate_chat(inputs, llm_kwargs, history, sys_prompt):
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if len(observe_window) >= 1:
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observe_window[0] = response
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if len(observe_window) >= 2:
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if (time.time() - observe_window[1]) > watch_dog_patience:
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raise RuntimeError("程序终止。")
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return response
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def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream=True, additional_fn=None):
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"""
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⭐单线程方法
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函数的说明请见 request_llms/bridge_all.py
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"""
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chatbot.append([inputs, ""])
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yield from update_ui(chatbot=chatbot, history=history)
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# 尝试导入依赖，如果缺少依赖，则给出安装建议
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try:
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check_packages(["zhipuai"])
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except:
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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```。",
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chatbot=chatbot, history=history, delay=0)
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return
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if validate_key() is False:
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yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置ZHIPUAI_API_KEY", chatbot=chatbot, history=history, delay=0)
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return
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if additional_fn is not None:
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from core_functional import handle_core_functionality
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inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
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chatbot[-1] = [inputs, ""]
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yield from update_ui(chatbot=chatbot, history=history)
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if llm_kwargs["llm_model"] == "zhipuai":
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llm_kwargs["llm_model"] = zhipuai_default_model
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if llm_kwargs["llm_model"] in ["glm-4v"]:
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have_recent_file, image_paths = have_any_recent_upload_image_files(chatbot)
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if not have_recent_file:
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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"))
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yield from update_ui(chatbot=chatbot, history=history, msg="等待图片") # 刷新界面
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return
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if have_recent_file:
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inputs = make_media_input(inputs, image_paths)
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chatbot[-1] = [inputs, ""]
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yield from update_ui(chatbot=chatbot, history=history)
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# 开始接收回复
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from .com_zhipuglm import ZhipuChatInit
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zhipu_bro_init = ZhipuChatInit()
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for chunk, response in zhipu_bro_init.generate_chat(inputs, llm_kwargs, history, system_prompt):
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chatbot[-1] = [inputs, response]
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yield from update_ui(chatbot=chatbot, history=history)
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history.extend([inputs, response])
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yield from update_ui(chatbot=chatbot, history=history) |