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| from toolbox import CatchException, update_ui, gen_time_str | |
| from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive | |
| from .crazy_utils import input_clipping | |
| import copy, json | |
| def get_fn_lib(): | |
| return { | |
| "BatchTranslatePDFDocuments_MultiThreaded": { | |
| "module": "crazy_functions.批量翻译PDF文档_多线程", | |
| "function": "批量翻译PDF文档", | |
| "description": "Translate PDF Documents", | |
| "arg_1_description": "A path containing pdf files.", | |
| }, | |
| "SummarizingWordDocuments": { | |
| "module": "crazy_functions.总结word文档", | |
| "function": "总结word文档", | |
| "description": "Summarize Word Documents", | |
| "arg_1_description": "A path containing Word files.", | |
| }, | |
| "ImageGeneration": { | |
| "module": "crazy_functions.图片生成", | |
| "function": "图片生成", | |
| "description": "Generate a image that satisfies some description.", | |
| "arg_1_description": "Descriptions about the image to be generated.", | |
| }, | |
| "TranslateMarkdownFromEnglishToChinese": { | |
| "module": "crazy_functions.批量Markdown翻译", | |
| "function": "Markdown中译英", | |
| "description": "Translate Markdown Documents from English to Chinese.", | |
| "arg_1_description": "A path containing Markdown files.", | |
| }, | |
| "SummaryAudioVideo": { | |
| "module": "crazy_functions.总结音视频", | |
| "function": "总结音视频", | |
| "description": "Get text from a piece of audio and summarize this audio.", | |
| "arg_1_description": "A path containing audio files.", | |
| }, | |
| } | |
| functions = [ | |
| { | |
| "name": k, | |
| "description": v['description'], | |
| "parameters": { | |
| "type": "object", | |
| "properties": { | |
| "plugin_arg_1": { | |
| "type": "string", | |
| "description": v['arg_1_description'], | |
| }, | |
| }, | |
| "required": ["plugin_arg_1"], | |
| }, | |
| } for k, v in get_fn_lib().items() | |
| ] | |
| def inspect_dependency(chatbot, history): | |
| return True | |
| def eval_code(code, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port): | |
| import importlib | |
| try: | |
| tmp = get_fn_lib()[code['name']] | |
| fp, fn = tmp['module'], tmp['function'] | |
| fn_plugin = getattr(importlib.import_module(fp, fn), fn) | |
| arg = json.loads(code['arguments'])['plugin_arg_1'] | |
| yield from fn_plugin(arg, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port) | |
| except: | |
| from toolbox import trimmed_format_exc | |
| chatbot.append(["执行错误", f"\n```\n{trimmed_format_exc()}\n```\n"]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| def get_code_block(reply): | |
| import re | |
| pattern = r"```([\s\S]*?)```" # regex pattern to match code blocks | |
| matches = re.findall(pattern, reply) # find all code blocks in text | |
| if len(matches) != 1: | |
| raise RuntimeError("GPT is not generating proper code.") | |
| return matches[0].strip('python') # code block | |
| def 终端(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port): | |
| """ | |
| txt 输入栏用户输入的文本, 例如需要翻译的一段话, 再例如一个包含了待处理文件的路径 | |
| llm_kwargs gpt模型参数, 如温度和top_p等, 一般原样传递下去就行 | |
| plugin_kwargs 插件模型的参数, 暂时没有用武之地 | |
| chatbot 聊天显示框的句柄, 用于显示给用户 | |
| history 聊天历史, 前情提要 | |
| system_prompt 给gpt的静默提醒 | |
| web_port 当前软件运行的端口号 | |
| """ | |
| # 清空历史, 以免输入溢出 | |
| history = [] | |
| # 基本信息：功能、贡献者 | |
| chatbot.append(["虚空终端插件的功能？", "根据自然语言的描述, 执行任意插件的命令."]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| # 输入 | |
| i_say = txt | |
| # 开始 | |
| llm_kwargs_function_call = copy.deepcopy(llm_kwargs) | |
| llm_kwargs_function_call['llm_model'] = 'gpt-call-fn' # 修改调用函数 | |
| gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive( | |
| inputs=i_say, inputs_show_user=txt, | |
| llm_kwargs=llm_kwargs_function_call, chatbot=chatbot, history=[], | |
| sys_prompt=functions | |
| ) | |
| # 将代码转为动画 | |
| res = json.loads(gpt_say)['choices'][0] | |
| if res['finish_reason'] == 'function_call': | |
| code = json.loads(gpt_say)['choices'][0] | |
| yield from eval_code(code['message']['function_call'], llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port) | |
| else: | |
| chatbot.append(["无法调用相关功能", res]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |