Spaces:
Running
Running
| 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 | |
| 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 | |