update multi-language module

crazy_functions/虚空终端.py

@@ -1,87 +1,70 @@
 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
 
-
-prompt = """
-I have to achieve some functionalities by calling one of the functions below.
-Your job is to find the correct funtion to use to satisfy my requirement,
-and then write python code to call this function with correct parameters.
-
-These are functions you are allowed to choose from:
-1. 
-    功能描述: 总结音视频内容
-    调用函数: ConcludeAudioContent(txt, llm_kwargs)
-    参数说明: 
-            txt: 音频文件的路径
-            llm_kwargs: 模型参数, 永远给定None
-2. 
-    功能描述: 将每次对话记录写入Markdown格式的文件中
-    调用函数: WriteMarkdown()
-3.
-    功能描述: 将指定目录下的PDF文件从英文翻译成中文
-    调用函数: BatchTranslatePDFDocuments_MultiThreaded(txt, llm_kwargs)
-    参数说明: 
-            txt: PDF文件所在的路径
-            llm_kwargs: 模型参数, 永远给定None
-4.
-    功能描述: 根据文本使用GPT模型生成相应的图像
-    调用函数: ImageGeneration(txt, llm_kwargs)
-    参数说明: 
-            txt: 图像生成所用到的提示文本
-            llm_kwargs: 模型参数, 永远给定None
-5.
-    功能描述: 对输入的word文档进行摘要生成 
-    调用函数: SummarizingWordDocuments(input_path, output_path)
-    参数说明: 
-            input_path: 待处理的word文档路径
-            output_path: 摘要生成后的文档路径
-
-
-You should always anwser with following format:
-----------------
-Code:
-```
-class AutoAcademic(object):
-    def __init__(self):
-        self.selected_function = "FILL_CORRECT_FUNCTION_HERE"      # e.g., "GenerateImage"
-        self.txt = "FILL_MAIN_PARAMETER_HERE"      # e.g., "荷叶上的蜻蜓"
-        self.llm_kwargs = None
-```
-Explanation:
-只有GenerateImage和生成图像相关, 因此选择GenerateImage函数。
-----------------
-
-Now, this is my requirement: 
-
-"""
 def get_fn_lib():
     return {
-        "BatchTranslatePDFDocuments_MultiThreaded": ("crazy_functions.批量翻译PDF文档_多线程",  "批量翻译PDF文档"),
+        "BatchTranslatePDFDocuments_MultiThreaded": {
-        "SummarizingWordDocuments": ("crazy_functions.总结word文档",  "总结word文档"),
+                "module": "crazy_functions.批量翻译PDF文档_多线程",  
-        "ImageGeneration": ("crazy_functions.图片生成",  "图片生成"),
+                "function": "批量翻译PDF文档",
-        "TranslateMarkdownFromEnglishToChinese": ("crazy_functions.批量Markdown翻译",  "Markdown中译英"),
+                "description": "Translate PDF Documents",
-        "SummaryAudioVideo": ("crazy_functions.总结音视频",  "总结音视频"),
+                "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 subprocess, sys, os, shutil, importlib
+    import importlib
-
-    with open('gpt_log/void_terminal_runtime.py', 'w', encoding='utf8') as f:
-        f.write(code)
-
     try:
-        AutoAcademic = getattr(importlib.import_module('gpt_log.void_terminal_runtime', 'AutoAcademic'), 'AutoAcademic')
+        tmp = get_fn_lib()[code['name']]
-        # importlib.reload(AutoAcademic)
+        fp, fn = tmp['module'], tmp['function']
-        auto_dict = AutoAcademic()
-        selected_function = auto_dict.selected_function
-        txt = auto_dict.txt
-        fp, fn = get_fn_lib()[selected_function]
         fn_plugin = getattr(importlib.import_module(fp, fn), fn)
-        yield from fn_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port)
+        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"])
@@ -110,22 +93,27 @@ def 终端(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_
     history = []    
 
     # 基本信息：功能、贡献者
-    chatbot.append(["函数插件功能？", "根据自然语言执行插件命令, 作者: binary-husky, 插件初始化中 ..."])
+    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
-
-    # # 尝试导入依赖, 如果缺少依赖, 则给出安装建议
-    # dep_ok = yield from inspect_dependency(chatbot=chatbot, history=history) # 刷新界面
-    # if not dep_ok: return
     
     # 输入
-    i_say = prompt + txt
+    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, chatbot=chatbot, history=[], 
+        llm_kwargs=llm_kwargs_function_call, chatbot=chatbot, history=[], 
-        sys_prompt=""
+        sys_prompt=functions
     )
 
     # 将代码转为动画
-    code = get_code_block(gpt_say)
+    res = json.loads(gpt_say)['choices'][0]
-    yield from eval_code(code, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port)
+    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
+
+

docs/translate_english.json

@@ -2146,5 +2146,20 @@
     "的参数！": "parameters!",
     "例如翻译、解释代码、润色等等": "such as translation, code interpretation, polishing, etc.",
     "响应异常": "Response exception",
-    "响应中": "Responding"
+    "响应中": "Responding",
+    "请尝试英文Prompt": "Try English Prompt",
+    "在运行过程中动态地修改多个配置": "Dynamically modify multiple configurations during runtime",
+    "无法调用相关功能": "Unable to invoke related functions",
+    "接驳虚空终端": "Connect to Void Terminal",
+    "虚空终端插件的功能": "Functionality of Void Terminal plugin",
+    "执行任意插件的命令": "Execute commands of any plugin",
+    "修改调用函数": "Modify calling function",
+    "获取简单聊天的默认参数": "Get default parameters for simple chat",
+    "根据自然语言的描述": "Based on natural language description",
+    "获取插件的句柄": "Get handle of plugin",
+    "第四部分": "Part Four",
+    "在运行过程中动态地修改配置": "Dynamically modify configurations during runtime",
+    "请先把模型切换至gpt-*或者api2d-*": "Please switch the model to gpt-* or api2d-* first",
+    "获取简单聊天的句柄": "Get handle of simple chat",
+    "获取插件的默认参数": "Get default parameters of plugin"
 }

docs/translate_std.json

@@ -0,0 +1,87 @@
+{
+    "解析JupyterNotebook": "ParsingJupyterNotebook",
+    "Latex翻译中文并重新编译PDF": "TranslateChineseToEnglishInLatexAndRecompilePDF",
+    "联网的ChatGPT_bing版": "OnlineChatGPT_BingEdition",
+    "理解PDF文档内容标准文件输入": "UnderstandPdfDocumentContentStandardFileInput",
+    "Latex英文纠错加PDF对比": "CorrectEnglishInLatexWithPDFComparison",
+    "下载arxiv论文并翻译摘要": "DownloadArxivPaperAndTranslateAbstract",
+    "Markdown翻译指定语言": "TranslateMarkdownToSpecifiedLanguage",
+    "批量翻译PDF文档_多线程": "BatchTranslatePDFDocuments_MultiThreaded",
+    "下载arxiv论文翻译摘要": "DownloadArxivPaperTranslateAbstract",
+    "解析一个Python项目": "ParsePythonProject",
+    "解析一个Golang项目": "ParseGolangProject",
+    "代码重写为全英文_多线程": "RewriteCodeToEnglish_MultiThreaded",
+    "解析一个CSharp项目": "ParsingCSharpProject",
+    "删除所有本地对话历史记录": "DeleteAllLocalConversationHistoryRecords",
+    "批量Markdown翻译": "BatchTranslateMarkdown",
+    "连接bing搜索回答问题": "ConnectBingSearchAnswerQuestion",
+    "Langchain知识库": "LangchainKnowledgeBase",
+    "Latex输出PDF结果": "OutputPDFFromLatex",
+    "把字符太少的块清除为回车": "ClearBlocksWithTooFewCharactersToNewline",
+    "Latex精细分解与转化": "DecomposeAndConvertLatex",
+    "解析一个C项目的头文件": "ParseCProjectHeaderFiles",
+    "Markdown英译中": "TranslateMarkdownFromEnglishToChinese",
+    "Markdown中译英": "MarkdownChineseToEnglish",
+    "数学动画生成manim": "MathematicalAnimationGenerationManim",
+    "chatglm微调工具": "ChatGLMFineTuningTool",
+    "解析一个Rust项目": "ParseRustProject",
+    "解析一个Java项目": "ParseJavaProject",
+    "联网的ChatGPT": "ChatGPTConnectedToNetwork",
+    "解析任意code项目": "ParseAnyCodeProject",
+    "合并小写开头的段落块": "MergeLowercaseStartingParagraphBlocks",
+    "Latex英文润色": "EnglishProofreadingForLatex",
+    "Latex全文润色": "FullTextProofreadingForLatex",
+    "询问多个大语言模型": "InquiryMultipleLargeLanguageModels",
+    "解析一个Lua项目": "ParsingLuaProject",
+    "解析ipynb文件": "ParsingIpynbFiles",
+    "批量总结PDF文档": "BatchSummarizePDFDocuments",
+    "批量翻译PDF文档": "BatchTranslatePDFDocuments",
+    "理解PDF文档内容": "UnderstandPdfDocumentContent",
+    "Latex中文润色": "LatexChineseProofreading",
+    "Latex英文纠错": "LatexEnglishCorrection",
+    "Latex全文翻译": "LatexFullTextTranslation",
+    "同时问询_指定模型": "InquireSimultaneously_SpecifiedModel",
+    "批量生成函数注释": "BatchGenerateFunctionComments",
+    "解析一个前端项目": "ParseFrontendProject",
+    "高阶功能模板函数": "HighOrderFunctionTemplateFunctions",
+    "高级功能函数模板": "AdvancedFunctionTemplate",
+    "总结word文档": "SummarizingWordDocuments",
+    "载入对话历史存档": "LoadConversationHistoryArchive",
+    "Latex中译英": "LatexChineseToEnglish",
+    "Latex英译中": "LatexEnglishToChinese",
+    "连接网络回答问题": "ConnectToNetworkToAnswerQuestions",
+    "交互功能模板函数": "InteractiveFunctionTemplateFunction",
+    "交互功能函数模板": "InteractiveFunctionFunctionTemplate",
+    "sprint亮靛": "SprintIndigo",
+    "print亮黄": "PrintBrightYellow",
+    "print亮绿": "PrintBrightGreen",
+    "print亮红": "PrintBrightRed",
+    "解析项目源代码": "ParseProjectSourceCode",
+    "解析一个C项目": "ParseCProject",
+    "全项目切换英文": "SwitchToEnglishForTheWholeProject",
+    "谷歌检索小助手": "GoogleSearchAssistant",
+    "读取知识库作答": "ReadKnowledgeArchiveAnswerQuestions",
+    "print亮蓝": "PrintBrightBlue",
+    "微调数据集生成": "FineTuneDatasetGeneration",
+    "清理多余的空行": "CleanUpExcessBlankLines",
+    "编译Latex": "CompileLatex",
+    "解析Paper": "ParsePaper",
+    "ipynb解释": "IpynbExplanation",
+    "读文章写摘要": "ReadArticleWriteSummary",
+    "生成函数注释": "GenerateFunctionComments",
+    "解析项目本身": "ParseProjectItself",
+    "对话历史存档": "ConversationHistoryArchive",
+    "专业词汇声明": "ProfessionalTerminologyDeclaration",
+    "解析docx": "ParseDocx",
+    "解析源代码新": "ParsingSourceCodeNew",
+    "总结音视频": "SummaryAudioVideo",
+    "知识库问答": "UpdateKnowledgeArchive",
+    "多文件润色": "ProofreadMultipleFiles",
+    "多文件翻译": "TranslateMultipleFiles",
+    "解析PDF": "ParsePDF",
+    "同时问询": "SimultaneousInquiry",
+    "图片生成": "ImageGeneration",
+    "动画生成": "AnimationGeneration",
+    "语音助手": "VoiceAssistant",
+    "启动微调": "StartFineTuning"
+}

multi_language.py

@@ -288,6 +288,7 @@ def trans_json(word_to_translate, language, special=False):
 
 
 def step_1_core_key_translate():
+    LANG_STD = 'std'
     def extract_chinese_characters(file_path):
         syntax = []
         with open(file_path, 'r', encoding='utf-8') as f:
@@ -327,15 +328,15 @@ def step_1_core_key_translate():
     for d in chinese_core_keys:
         if d not in chinese_core_keys_norepeat: chinese_core_keys_norepeat.append(d)
     need_translate = []
-    cached_translation = read_map_from_json(language=LANG)
+    cached_translation = read_map_from_json(language=LANG_STD)
     cached_translation_keys = list(cached_translation.keys())
     for d in chinese_core_keys_norepeat:
         if d not in cached_translation_keys: 
             need_translate.append(d)
 
-    need_translate_mapping = trans(need_translate, language=LANG, special=True)
+    need_translate_mapping = trans(need_translate, language=LANG_STD, special=True)
-    map_to_json(need_translate_mapping, language=LANG)
+    map_to_json(need_translate_mapping, language=LANG_STD)
-    cached_translation = read_map_from_json(language=LANG)
+    cached_translation = read_map_from_json(language=LANG_STD)
     cached_translation = dict(sorted(cached_translation.items(), key=lambda x: -len(x[0])))
 
     chinese_core_keys_norepeat_mapping = {}