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| """ | |
| Explanation of the Void Terminal Plugin: | |
| Please describe in natural language what you want to do. | |
| 1. You can open the plugin's dropdown menu to explore various capabilities of this project, and then describe your needs in natural language, for example: | |
| - "Please call the plugin to translate a PDF paper for me. I just uploaded the paper to the upload area." | |
| - "Please use the plugin to translate a PDF paper, with the address being https://www.nature.com/articles/s41586-019-1724-z.pdf." | |
| - "Generate an image with blooming flowers and lush green grass using the plugin." | |
| - "Translate the README using the plugin. The GitHub URL is https://github.com/facebookresearch/co-tracker." | |
| - "Translate an Arxiv paper for me. The Arxiv ID is 1812.10695. Remember to use the plugin and don't do it manually!" | |
| - "I don't like the current interface color. Modify the configuration and change the theme to THEME="High-Contrast"." | |
| - "Could you please explain the structure of the Transformer network?" | |
| 2. If you use keywords like "call the plugin xxx", "modify the configuration xxx", "please", etc., your intention can be recognized more accurately. | |
| 3. Your intention can be recognized more accurately when using powerful models like GPT4. This plugin is relatively new, so please feel free to provide feedback on GitHub. | |
| 4. Now, if you need to process a file, please upload the file (drag the file to the file upload area) or describe the path to the file. | |
| 5. If you don't need to upload a file, you can simply repeat your command again. | |
| """ | |
| explain_msg = """ | |
| ## 虚空终端插件说明: | |
| 1. 请用**自然语言**描述您需要做什么。例如: | |
| - 「请调用插件,为我翻译PDF论文,论文我刚刚放到上传区了」 | |
| - 「请调用插件翻译PDF论文,地址为https://openreview.net/pdf?id=rJl0r3R9KX」 | |
| - 「把Arxiv论文翻译成中文PDF,arxiv论文的ID是1812.10695,记得用插件!」 | |
| - 「生成一张图片,图中鲜花怒放,绿草如茵,用插件实现」 | |
| - 「用插件翻译README,Github网址是https://github.com/facebookresearch/co-tracker」 | |
| - 「我不喜欢当前的界面颜色,修改配置,把主题THEME更换为THEME="High-Contrast"」 | |
| - 「请调用插件,解析python源代码项目,代码我刚刚打包拖到上传区了」 | |
| - 「请问Transformer网络的结构是怎样的?」 | |
| 2. 您可以打开插件下拉菜单以了解本项目的各种能力。 | |
| 3. 如果您使用「调用插件xxx」、「修改配置xxx」、「请问」等关键词,您的意图可以被识别的更准确。 | |
| 4. 建议使用 GPT3.5 或更强的模型,弱模型可能无法理解您的想法。该插件诞生时间不长,欢迎您前往Github反馈问题。 | |
| 5. 现在,如果需要处理文件,请您上传文件(将文件拖动到文件上传区),或者描述文件所在的路径。 | |
| 6. 如果不需要上传文件,现在您只需要再次重复一次您的指令即可。 | |
| """ | |
| from pydantic import BaseModel, Field | |
| from typing import List | |
| from toolbox import CatchException, update_ui, is_the_upload_folder | |
| from toolbox import update_ui_lastest_msg, disable_auto_promotion | |
| from request_llms.bridge_all import predict_no_ui_long_connection | |
| from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive | |
| from crazy_functions.crazy_utils import input_clipping | |
| from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError | |
| from crazy_functions.vt_fns.vt_state import VoidTerminalState | |
| from crazy_functions.vt_fns.vt_modify_config import modify_configuration_hot | |
| from crazy_functions.vt_fns.vt_modify_config import modify_configuration_reboot | |
| from crazy_functions.vt_fns.vt_call_plugin import execute_plugin | |
| class UserIntention(BaseModel): | |
| user_prompt: str = Field(description="the content of user input", default="") | |
| intention_type: str = Field(description="the type of user intention, choose from ['ModifyConfiguration', 'ExecutePlugin', 'Chat']", default="ExecutePlugin") | |
| user_provide_file: bool = Field(description="whether the user provides a path to a file", default=False) | |
| user_provide_url: bool = Field(description="whether the user provides a url", default=False) | |
| def chat(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention): | |
| gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive( | |
| inputs=txt, inputs_show_user=txt, | |
| llm_kwargs=llm_kwargs, chatbot=chatbot, history=[], | |
| sys_prompt=system_prompt | |
| ) | |
| chatbot[-1] = [txt, gpt_say] | |
| history.extend([txt, gpt_say]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| pass | |
| explain_intention_to_user = { | |
| 'Chat': "聊天对话", | |
| 'ExecutePlugin': "调用插件", | |
| 'ModifyConfiguration': "修改配置", | |
| } | |
| def analyze_intention_with_simple_rules(txt): | |
| user_intention = UserIntention() | |
| user_intention.user_prompt = txt | |
| is_certain = False | |
| if '请问' in txt: | |
| is_certain = True | |
| user_intention.intention_type = 'Chat' | |
| if '用插件' in txt: | |
| is_certain = True | |
| user_intention.intention_type = 'ExecutePlugin' | |
| if '修改配置' in txt: | |
| is_certain = True | |
| user_intention.intention_type = 'ModifyConfiguration' | |
| return is_certain, user_intention | |
| def 虚空终端(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): | |
| disable_auto_promotion(chatbot=chatbot) | |
| # 获取当前虚空终端状态 | |
| state = VoidTerminalState.get_state(chatbot) | |
| appendix_msg = "" | |
| # 用简单的关键词检测用户意图 | |
| is_certain, _ = analyze_intention_with_simple_rules(txt) | |
| if is_the_upload_folder(txt): | |
| state.set_state(chatbot=chatbot, key='has_provided_explaination', value=False) | |
| appendix_msg = "\n\n**很好,您已经上传了文件**,现在请您描述您的需求。" | |
| if is_certain or (state.has_provided_explaination): | |
| # 如果意图明确,跳过提示环节 | |
| state.set_state(chatbot=chatbot, key='has_provided_explaination', value=True) | |
| state.unlock_plugin(chatbot=chatbot) | |
| yield from update_ui(chatbot=chatbot, history=history) | |
| yield from 虚空终端主路由(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request) | |
| return | |
| else: | |
| # 如果意图模糊,提示 | |
| state.set_state(chatbot=chatbot, key='has_provided_explaination', value=True) | |
| state.lock_plugin(chatbot=chatbot) | |
| chatbot.append(("虚空终端状态:", explain_msg+appendix_msg)) | |
| yield from update_ui(chatbot=chatbot, history=history) | |
| return | |
| def 虚空终端主路由(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): | |
| history = [] | |
| chatbot.append(("虚空终端状态: ", f"正在执行任务: {txt}")) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| # ⭐ ⭐ ⭐ 分析用户意图 | |
| is_certain, user_intention = analyze_intention_with_simple_rules(txt) | |
| if not is_certain: | |
| yield from update_ui_lastest_msg( | |
| lastmsg=f"正在执行任务: {txt}\n\n分析用户意图中", chatbot=chatbot, history=history, delay=0) | |
| gpt_json_io = GptJsonIO(UserIntention) | |
| rf_req = "\nchoose from ['ModifyConfiguration', 'ExecutePlugin', 'Chat']" | |
| inputs = "Analyze the intention of the user according to following user input: \n\n" + \ | |
| ">> " + (txt+rf_req).rstrip('\n').replace('\n','\n>> ') + '\n\n' + gpt_json_io.format_instructions | |
| run_gpt_fn = lambda inputs, sys_prompt: predict_no_ui_long_connection( | |
| inputs=inputs, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=[]) | |
| analyze_res = run_gpt_fn(inputs, "") | |
| try: | |
| user_intention = gpt_json_io.generate_output_auto_repair(analyze_res, run_gpt_fn) | |
| lastmsg=f"正在执行任务: {txt}\n\n用户意图理解: 意图={explain_intention_to_user[user_intention.intention_type]}", | |
| except JsonStringError as e: | |
| yield from update_ui_lastest_msg( | |
| lastmsg=f"正在执行任务: {txt}\n\n用户意图理解: 失败 当前语言模型({llm_kwargs['llm_model']})不能理解您的意图", chatbot=chatbot, history=history, delay=0) | |
| return | |
| else: | |
| pass | |
| yield from update_ui_lastest_msg( | |
| lastmsg=f"正在执行任务: {txt}\n\n用户意图理解: 意图={explain_intention_to_user[user_intention.intention_type]}", | |
| chatbot=chatbot, history=history, delay=0) | |
| # 用户意图: 修改本项目的配置 | |
| if user_intention.intention_type == 'ModifyConfiguration': | |
| yield from modify_configuration_reboot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention) | |
| # 用户意图: 调度插件 | |
| if user_intention.intention_type == 'ExecutePlugin': | |
| yield from execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention) | |
| # 用户意图: 聊天 | |
| if user_intention.intention_type == 'Chat': | |
| yield from chat(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention) | |
| return | |