from toolbox import update_ui, trimmed_format_exc, promote_file_to_downloadzone, get_log_folder from toolbox import CatchException, report_exception, write_history_to_file, zip_folder class PaperFileGroup(): def __init__(self): self.file_paths = [] self.file_contents = [] self.sp_file_contents = [] self.sp_file_index = [] self.sp_file_tag = [] # count_token from request_llms.bridge_all import model_info enc = model_info["gpt-3.5-turbo"]['tokenizer'] def get_token_num(txt): return len(enc.encode(txt, disallowed_special=())) self.get_token_num = get_token_num def run_file_split(self, max_token_limit=1900): """ 将长文本分离开来 """ for index, file_content in enumerate(self.file_contents): if self.get_token_num(file_content) < max_token_limit: self.sp_file_contents.append(file_content) self.sp_file_index.append(index) self.sp_file_tag.append(self.file_paths[index]) else: from crazy_functions.pdf_fns.breakdown_txt import breakdown_text_to_satisfy_token_limit segments = breakdown_text_to_satisfy_token_limit(file_content, max_token_limit) for j, segment in enumerate(segments): self.sp_file_contents.append(segment) self.sp_file_index.append(index) self.sp_file_tag.append(self.file_paths[index] + f".part-{j}.tex") print('Segmentation: done') def merge_result(self): self.file_result = ["" for _ in range(len(self.file_paths))] for r, k in zip(self.sp_file_result, self.sp_file_index): self.file_result[k] += r def write_result(self): manifest = [] for path, res in zip(self.file_paths, self.file_result): with open(path + '.polish.tex', 'w', encoding='utf8') as f: manifest.append(path + '.polish.tex') f.write(res) return manifest def zip_result(self): import os, time folder = os.path.dirname(self.file_paths[0]) t = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) zip_folder(folder, get_log_folder(), f'{t}-polished.zip') def 多文件润色(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='en', mode='polish'): import time, os, re from .crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency # <-------- 读取Latex文件，删除其中的所有注释 ----------> pfg = PaperFileGroup() for index, fp in enumerate(file_manifest): with open(fp, 'r', encoding='utf-8', errors='replace') as f: file_content = f.read() # 定义注释的正则表达式 comment_pattern = r'(? pfg.run_file_split(max_token_limit=1024) n_split = len(pfg.sp_file_contents) # <-------- 多线程润色开始 ----------> if language == 'en': if mode == 'polish': inputs_array = [r"Below is a section from an academic paper, polish this section to meet the academic standard, " + r"improve the grammar, clarity and overall readability, do not modify any latex command such as \section, \cite and equations:" + f"\n\n{frag}" for frag in pfg.sp_file_contents] else: inputs_array = [r"Below is a section from an academic paper, proofread this section." + r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " + r"Answer me only with the revised text:" + f"\n\n{frag}" for frag in pfg.sp_file_contents] inputs_show_user_array = [f"Polish {f}" for f in pfg.sp_file_tag] sys_prompt_array = ["You are a professional academic paper writer." for _ in range(n_split)] elif language == 'zh': if mode == 'polish': inputs_array = [r"以下是一篇学术论文中的一段内容，请将此部分润色以满足学术标准，提高语法、清晰度和整体可读性，不要修改任何LaTeX命令，例如\section，\cite和方程式：" + f"\n\n{frag}" for frag in pfg.sp_file_contents] else: inputs_array = [r"以下是一篇学术论文中的一段内容，请对这部分内容进行语法矫正。不要修改任何LaTeX命令，例如\section，\cite和方程式：" + f"\n\n{frag}" for frag in pfg.sp_file_contents] inputs_show_user_array = [f"润色 {f}" for f in pfg.sp_file_tag] sys_prompt_array=["你是一位专业的中文学术论文作家。" for _ in range(n_split)] gpt_response_collection = yield from request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency( inputs_array=inputs_array, inputs_show_user_array=inputs_show_user_array, llm_kwargs=llm_kwargs, chatbot=chatbot, history_array=[[""] for _ in range(n_split)], sys_prompt_array=sys_prompt_array, # max_workers=5, # 并行任务数量限制，最多同时执行5个，其他的排队等待 scroller_max_len = 80 ) # <-------- 文本碎片重组为完整的tex文件，整理结果为压缩包 ----------> try: pfg.sp_file_result = [] for i_say, gpt_say in zip(gpt_response_collection[0::2], gpt_response_collection[1::2]): pfg.sp_file_result.append(gpt_say) pfg.merge_result() pfg.write_result() pfg.zip_result() except: print(trimmed_format_exc()) # <-------- 整理结果，退出 ----------> create_report_file_name = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + f"-chatgpt.polish.md" res = write_history_to_file(gpt_response_collection, file_basename=create_report_file_name) promote_file_to_downloadzone(res, chatbot=chatbot) history = gpt_response_collection chatbot.append((f"{fp}完成了吗？", res)) yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 @CatchException def Latex英文润色(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): # 基本信息：功能、贡献者 chatbot.append([ "函数插件功能？", "对整个Latex项目进行润色。函数插件贡献者: Binary-Husky。（注意，此插件不调用Latex，如果有Latex环境，请使用「Latex英文纠错+高亮修正位置(需Latex)插件」"]) 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 try: import tiktoken except: report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade tiktoken```。") yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 return history = [] # 清空历史，以免输入溢出 import glob, os if os.path.exists(txt): project_folder = txt else: if txt == "": txt = '空空如也的输入栏' report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}") yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 return file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] if len(file_manifest) == 0: report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}") yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 return yield from 多文件润色(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='en') @CatchException def Latex中文润色(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): # 基本信息：功能、贡献者 chatbot.append([ "函数插件功能？", "对整个Latex项目进行润色。函数插件贡献者: Binary-Husky"]) 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 try: import tiktoken except: report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade tiktoken```。") yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 return history = [] # 清空历史，以免输入溢出 import glob, os if os.path.exists(txt): project_folder = txt else: if txt == "": txt = '空空如也的输入栏' report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}") yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 return file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] if len(file_manifest) == 0: report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}") yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 return yield from 多文件润色(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='zh') @CatchException def Latex英文纠错(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): # 基本信息：功能、贡献者 chatbot.append([ "函数插件功能？", "对整个Latex项目进行纠错。函数插件贡献者: Binary-Husky"]) 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 try: import tiktoken except: report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade tiktoken```。") yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 return history = [] # 清空历史，以免输入溢出 import glob, os if os.path.exists(txt): project_folder = txt else: if txt == "": txt = '空空如也的输入栏' report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}") yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 return file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] if len(file_manifest) == 0: report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}") yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 return yield from 多文件润色(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='en', mode='proofread')