from toolbox import CatchException, report_execption, get_log_folder, gen_time_str from toolbox import update_ui, promote_file_to_downloadzone, update_ui_lastest_msg, disable_auto_promotion from toolbox import write_history_to_file, promote_file_to_downloadzone from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive from .crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency from .crazy_utils import read_and_clean_pdf_text from .pdf_fns.parse_pdf import parse_pdf, get_avail_grobid_url, translate_pdf from colorful import * import copy import os import math import logging def markdown_to_dict(article_content): import markdown from bs4 import BeautifulSoup cur_t = "" cur_c = "" results = {} for line in article_content: if line.startswith('#'): if cur_t!="": if cur_t not in results: results.update({cur_t:cur_c.lstrip('\n')}) else: # 处理重名的章节 results.update({cur_t + " " + gen_time_str():cur_c.lstrip('\n')}) cur_t = line.rstrip('\n') cur_c = "" else: cur_c += line results_final = {} for k in list(results.keys()): if k.startswith('# '): results_final['title'] = k.split('# ')[-1] results_final['authors'] = results.pop(k).lstrip('\n') if k.startswith('###### Abstract'): results_final['abstract'] = results.pop(k).lstrip('\n') results_final_sections = [] for k,v in results.items(): results_final_sections.append({ 'heading':k.lstrip("# "), 'text':v if len(v) > 0 else f"The beginning of {k.lstrip('# ')} section." }) results_final['sections'] = results_final_sections return results_final @CatchException def 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port): disable_auto_promotion(chatbot) # 基本信息:功能、贡献者 chatbot.append([ "函数插件功能?", "批量翻译PDF文档。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 nougat import tiktoken except: report_execption(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 nougat-ocr tiktoken```。") yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 return # 清空历史,以免输入溢出 history = [] from .crazy_utils import get_files_from_everything success, file_manifest, project_folder = get_files_from_everything(txt, type='.pdf') # 检测输入参数,如没有给定输入参数,直接退出 if not success: if txt == "": txt = '空空如也的输入栏' # 如果没找到任何文件 if len(file_manifest) == 0: report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何.tex或.pdf文件: {txt}") yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 return # 开始正式执行任务 yield from 解析PDF_基于NOUGAT(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt) def 解析PDF_基于NOUGAT(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt): import copy import tiktoken TOKEN_LIMIT_PER_FRAGMENT = 1024 generated_conclusion_files = [] generated_html_files = [] DST_LANG = "中文" from crazy_functions.crazy_utils import nougat_interface, construct_html nougat_handle = nougat_interface() for index, fp in enumerate(file_manifest): chatbot.append(["当前进度:", f"正在解析论文,请稍候。(第一次运行时,需要花费较长时间下载NOUGAT参数)"]); yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 fpp = yield from nougat_handle.NOUGAT_parse_pdf(fp, chatbot, history) promote_file_to_downloadzone(fpp, rename_file=os.path.basename(fpp)+'.nougat.mmd', chatbot=chatbot) with open(fpp, 'r', encoding='utf8') as f: article_content = f.readlines() article_dict = markdown_to_dict(article_content) logging.info(article_dict) yield from translate_pdf(article_dict, llm_kwargs, chatbot, fp, generated_conclusion_files, TOKEN_LIMIT_PER_FRAGMENT, DST_LANG) chatbot.append(("给出输出文件清单", str(generated_conclusion_files + generated_html_files))) yield from update_ui(chatbot=chatbot, history=history) # 刷新界面