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| from toolbox import update_ui, trimmed_format_exc, get_conf, get_log_folder, promote_file_to_downloadzone | |
| from toolbox import CatchException, report_exception, update_ui_lastest_msg, zip_result, gen_time_str | |
| from functools import partial | |
| import glob, os, requests, time, json, tarfile | |
| pj = os.path.join | |
| ARXIV_CACHE_DIR = os.path.expanduser(f"~/arxiv_cache/") | |
| # =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- 工具函数 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=- | |
| # 专业词汇声明 = 'If the term "agent" is used in this section, it should be translated to "智能体". ' | |
| def switch_prompt(pfg, mode, more_requirement): | |
| """ | |
| Generate prompts and system prompts based on the mode for proofreading or translating. | |
| Args: | |
| - pfg: Proofreader or Translator instance. | |
| - mode: A string specifying the mode, either 'proofread' or 'translate_zh'. | |
| Returns: | |
| - inputs_array: A list of strings containing prompts for users to respond to. | |
| - sys_prompt_array: A list of strings containing prompts for system prompts. | |
| """ | |
| n_split = len(pfg.sp_file_contents) | |
| if mode == 'proofread_en': | |
| 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. " + more_requirement + | |
| r"Answer me only with the revised text:" + | |
| f"\n\n{frag}" for frag in pfg.sp_file_contents] | |
| sys_prompt_array = ["You are a professional academic paper writer." for _ in range(n_split)] | |
| elif mode == 'translate_zh': | |
| inputs_array = [ | |
| r"Below is a section from an English academic paper, translate it into Chinese. " + more_requirement + | |
| r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " + | |
| r"Answer me only with the translated text:" + | |
| f"\n\n{frag}" for frag in pfg.sp_file_contents] | |
| sys_prompt_array = ["You are a professional translator." for _ in range(n_split)] | |
| else: | |
| assert False, "未知指令" | |
| return inputs_array, sys_prompt_array | |
| def desend_to_extracted_folder_if_exist(project_folder): | |
| """ | |
| Descend into the extracted folder if it exists, otherwise return the original folder. | |
| Args: | |
| - project_folder: A string specifying the folder path. | |
| Returns: | |
| - A string specifying the path to the extracted folder, or the original folder if there is no extracted folder. | |
| """ | |
| maybe_dir = [f for f in glob.glob(f'{project_folder}/*') if os.path.isdir(f)] | |
| if len(maybe_dir) == 0: return project_folder | |
| if maybe_dir[0].endswith('.extract'): return maybe_dir[0] | |
| return project_folder | |
| def move_project(project_folder, arxiv_id=None): | |
| """ | |
| Create a new work folder and copy the project folder to it. | |
| Args: | |
| - project_folder: A string specifying the folder path of the project. | |
| Returns: | |
| - A string specifying the path to the new work folder. | |
| """ | |
| import shutil, time | |
| time.sleep(2) # avoid time string conflict | |
| if arxiv_id is not None: | |
| new_workfolder = pj(ARXIV_CACHE_DIR, arxiv_id, 'workfolder') | |
| else: | |
| new_workfolder = f'{get_log_folder()}/{gen_time_str()}' | |
| try: | |
| shutil.rmtree(new_workfolder) | |
| except: | |
| pass | |
| # align subfolder if there is a folder wrapper | |
| items = glob.glob(pj(project_folder, '*')) | |
| items = [item for item in items if os.path.basename(item) != '__MACOSX'] | |
| if len(glob.glob(pj(project_folder, '*.tex'))) == 0 and len(items) == 1: | |
| if os.path.isdir(items[0]): project_folder = items[0] | |
| shutil.copytree(src=project_folder, dst=new_workfolder) | |
| return new_workfolder | |
| def arxiv_download(chatbot, history, txt, allow_cache=True): | |
| def check_cached_translation_pdf(arxiv_id): | |
| translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'translation') | |
| if not os.path.exists(translation_dir): | |
| os.makedirs(translation_dir) | |
| target_file = pj(translation_dir, 'translate_zh.pdf') | |
| if os.path.exists(target_file): | |
| promote_file_to_downloadzone(target_file, rename_file=None, chatbot=chatbot) | |
| target_file_compare = pj(translation_dir, 'comparison.pdf') | |
| if os.path.exists(target_file_compare): | |
| promote_file_to_downloadzone(target_file_compare, rename_file=None, chatbot=chatbot) | |
| return target_file | |
| return False | |
| def is_float(s): | |
| try: | |
| float(s) | |
| return True | |
| except ValueError: | |
| return False | |
| if ('.' in txt) and ('/' not in txt) and is_float(txt): # is arxiv ID | |
| txt = 'https://arxiv.org/abs/' + txt.strip() | |
| if ('.' in txt) and ('/' not in txt) and is_float(txt[:10]): # is arxiv ID | |
| txt = 'https://arxiv.org/abs/' + txt[:10] | |
| if not txt.startswith('https://arxiv.org'): | |
| return txt, None # 是本地文件，跳过下载 | |
| # <-------------- inspect format -------------> | |
| chatbot.append([f"检测到arxiv文档连接", '尝试下载 ...']) | |
| yield from update_ui(chatbot=chatbot, history=history) | |
| time.sleep(1) # 刷新界面 | |
| url_ = txt # https://arxiv.org/abs/1707.06690 | |
| if not txt.startswith('https://arxiv.org/abs/'): | |
| msg = f"解析arxiv网址失败, 期望格式例如: https://arxiv.org/abs/1707.06690。实际得到格式: {url_}。" | |
| yield from update_ui_lastest_msg(msg, chatbot=chatbot, history=history) # 刷新界面 | |
| return msg, None | |
| # <-------------- set format -------------> | |
| arxiv_id = url_.split('/abs/')[-1] | |
| if 'v' in arxiv_id: arxiv_id = arxiv_id[:10] | |
| cached_translation_pdf = check_cached_translation_pdf(arxiv_id) | |
| if cached_translation_pdf and allow_cache: return cached_translation_pdf, arxiv_id | |
| url_tar = url_.replace('/abs/', '/e-print/') | |
| translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'e-print') | |
| extract_dst = pj(ARXIV_CACHE_DIR, arxiv_id, 'extract') | |
| os.makedirs(translation_dir, exist_ok=True) | |
| # <-------------- download arxiv source file -------------> | |
| dst = pj(translation_dir, arxiv_id + '.tar') | |
| if os.path.exists(dst): | |
| yield from update_ui_lastest_msg("调用缓存", chatbot=chatbot, history=history) # 刷新界面 | |
| else: | |
| yield from update_ui_lastest_msg("开始下载", chatbot=chatbot, history=history) # 刷新界面 | |
| proxies = get_conf('proxies') | |
| r = requests.get(url_tar, proxies=proxies) | |
| with open(dst, 'wb+') as f: | |
| f.write(r.content) | |
| # <-------------- extract file -------------> | |
| yield from update_ui_lastest_msg("下载完成", chatbot=chatbot, history=history) # 刷新界面 | |
| from toolbox import extract_archive | |
| extract_archive(file_path=dst, dest_dir=extract_dst) | |
| return extract_dst, arxiv_id | |
| def pdf2tex_project(pdf_file_path): | |
| # Mathpix API credentials | |
| app_id, app_key = get_conf('MATHPIX_APPID', 'MATHPIX_APPKEY') | |
| headers = {"app_id": app_id, "app_key": app_key} | |
| # Step 1: Send PDF file for processing | |
| options = { | |
| "conversion_formats": {"tex.zip": True}, | |
| "math_inline_delimiters": ["$", "$"], | |
| "rm_spaces": True | |
| } | |
| response = requests.post(url="https://api.mathpix.com/v3/pdf", | |
| headers=headers, | |
| data={"options_json": json.dumps(options)}, | |
| files={"file": open(pdf_file_path, "rb")}) | |
| if response.ok: | |
| pdf_id = response.json()["pdf_id"] | |
| print(f"PDF processing initiated. PDF ID: {pdf_id}") | |
| # Step 2: Check processing status | |
| while True: | |
| conversion_response = requests.get(f"https://api.mathpix.com/v3/pdf/{pdf_id}", headers=headers) | |
| conversion_data = conversion_response.json() | |
| if conversion_data["status"] == "completed": | |
| print("PDF processing completed.") | |
| break | |
| elif conversion_data["status"] == "error": | |
| print("Error occurred during processing.") | |
| else: | |
| print(f"Processing status: {conversion_data['status']}") | |
| time.sleep(5) # wait for a few seconds before checking again | |
| # Step 3: Save results to local files | |
| output_dir = os.path.join(os.path.dirname(pdf_file_path), 'mathpix_output') | |
| if not os.path.exists(output_dir): | |
| os.makedirs(output_dir) | |
| url = f"https://api.mathpix.com/v3/pdf/{pdf_id}.tex" | |
| response = requests.get(url, headers=headers) | |
| file_name_wo_dot = '_'.join(os.path.basename(pdf_file_path).split('.')[:-1]) | |
| output_name = f"{file_name_wo_dot}.tex.zip" | |
| output_path = os.path.join(output_dir, output_name) | |
| with open(output_path, "wb") as output_file: | |
| output_file.write(response.content) | |
| print(f"tex.zip file saved at: {output_path}") | |
| import zipfile | |
| unzip_dir = os.path.join(output_dir, file_name_wo_dot) | |
| with zipfile.ZipFile(output_path, 'r') as zip_ref: | |
| zip_ref.extractall(unzip_dir) | |
| return unzip_dir | |
| else: | |
| print(f"Error sending PDF for processing. Status code: {response.status_code}") | |
| return None | |
| # =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= 插件主程序1 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | |
| def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): | |
| # <-------------- information about this plugin -------------> | |
| chatbot.append(["函数插件功能？", | |
| "对整个Latex项目进行纠错, 用latex编译为PDF对修正处做高亮。函数插件贡献者: Binary-Husky。注意事项: 目前仅支持GPT3.5/GPT4，其他模型转化效果未知。目前对机器学习类文献转化效果最好，其他类型文献转化效果未知。仅在Windows系统进行了测试，其他操作系统表现未知。"]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| # <-------------- more requirements -------------> | |
| if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg") | |
| more_req = plugin_kwargs.get("advanced_arg", "") | |
| _switch_prompt_ = partial(switch_prompt, more_requirement=more_req) | |
| # <-------------- check deps -------------> | |
| try: | |
| import glob, os, time, subprocess | |
| subprocess.Popen(['pdflatex', '-version']) | |
| from .latex_fns.latex_actions import Latex精细分解与转化, 编译Latex | |
| except Exception as e: | |
| chatbot.append([f"解析项目: {txt}", | |
| f"尝试执行Latex指令失败。Latex没有安装, 或者不在环境变量PATH中。安装方法https://tug.org/texlive/。报错信息\n\n```\n\n{trimmed_format_exc()}\n\n```\n\n"]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| return | |
| # <-------------- clear history and read input -------------> | |
| history = [] | |
| 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 | |
| # <-------------- if is a zip/tar file -------------> | |
| project_folder = desend_to_extracted_folder_if_exist(project_folder) | |
| # <-------------- move latex project away from temp folder -------------> | |
| project_folder = move_project(project_folder, arxiv_id=None) | |
| # <-------------- if merge_translate_zh is already generated, skip gpt req -------------> | |
| if not os.path.exists(project_folder + '/merge_proofread_en.tex'): | |
| yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, | |
| chatbot, history, system_prompt, mode='proofread_en', | |
| switch_prompt=_switch_prompt_) | |
| # <-------------- compile PDF -------------> | |
| success = yield from 编译Latex(chatbot, history, main_file_original='merge', | |
| main_file_modified='merge_proofread_en', | |
| work_folder_original=project_folder, work_folder_modified=project_folder, | |
| work_folder=project_folder) | |
| # <-------------- zip PDF -------------> | |
| zip_res = zip_result(project_folder) | |
| if success: | |
| chatbot.append((f"成功啦", '请查收结果（压缩包）...')) | |
| yield from update_ui(chatbot=chatbot, history=history); | |
| time.sleep(1) # 刷新界面 | |
| promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) | |
| else: | |
| chatbot.append((f"失败了", | |
| '虽然PDF生成失败了, 但请查收结果（压缩包）, 内含已经翻译的Tex文档, 也是可读的, 您可以到Github Issue区, 用该压缩包+对话历史存档进行反馈 ...')) | |
| yield from update_ui(chatbot=chatbot, history=history); | |
| time.sleep(1) # 刷新界面 | |
| promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) | |
| # <-------------- we are done -------------> | |
| return success | |
| # =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= 插件主程序2 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | |
| def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): | |
| # <-------------- information about this plugin -------------> | |
| chatbot.append([ | |
| "函数插件功能？", | |
| "对整个Latex项目进行翻译, 生成中文PDF。函数插件贡献者: Binary-Husky。注意事项: 此插件Windows支持最佳，Linux下必须使用Docker安装，详见项目主README.md。目前仅支持GPT3.5/GPT4，其他模型转化效果未知。目前对机器学习类文献转化效果最好，其他类型文献转化效果未知。"]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| # <-------------- more requirements -------------> | |
| if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg") | |
| more_req = plugin_kwargs.get("advanced_arg", "") | |
| no_cache = more_req.startswith("--no-cache") | |
| if no_cache: more_req.lstrip("--no-cache") | |
| allow_cache = not no_cache | |
| _switch_prompt_ = partial(switch_prompt, more_requirement=more_req) | |
| # <-------------- check deps -------------> | |
| try: | |
| import glob, os, time, subprocess | |
| subprocess.Popen(['pdflatex', '-version']) | |
| from .latex_fns.latex_actions import Latex精细分解与转化, 编译Latex | |
| except Exception as e: | |
| chatbot.append([f"解析项目: {txt}", | |
| f"尝试执行Latex指令失败。Latex没有安装, 或者不在环境变量PATH中。安装方法https://tug.org/texlive/。报错信息\n\n```\n\n{trimmed_format_exc()}\n\n```\n\n"]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| return | |
| # <-------------- clear history and read input -------------> | |
| history = [] | |
| try: | |
| txt, arxiv_id = yield from arxiv_download(chatbot, history, txt, allow_cache) | |
| except tarfile.ReadError as e: | |
| yield from update_ui_lastest_msg( | |
| "无法自动下载该论文的Latex源码，请前往arxiv打开此论文下载页面，点other Formats，然后download source手动下载latex源码包。接下来调用本地Latex翻译插件即可。", | |
| chatbot=chatbot, history=history) | |
| return | |
| if txt.endswith('.pdf'): | |
| report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"发现已经存在翻译好的PDF文档") | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| return | |
| 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法处理: {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 | |
| # <-------------- if is a zip/tar file -------------> | |
| project_folder = desend_to_extracted_folder_if_exist(project_folder) | |
| # <-------------- move latex project away from temp folder -------------> | |
| project_folder = move_project(project_folder, arxiv_id) | |
| # <-------------- if merge_translate_zh is already generated, skip gpt req -------------> | |
| if not os.path.exists(project_folder + '/merge_translate_zh.tex'): | |
| yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, | |
| chatbot, history, system_prompt, mode='translate_zh', | |
| switch_prompt=_switch_prompt_) | |
| # <-------------- compile PDF -------------> | |
| success = yield from 编译Latex(chatbot, history, main_file_original='merge', | |
| main_file_modified='merge_translate_zh', mode='translate_zh', | |
| work_folder_original=project_folder, work_folder_modified=project_folder, | |
| work_folder=project_folder) | |
| # <-------------- zip PDF -------------> | |
| zip_res = zip_result(project_folder) | |
| if success: | |
| chatbot.append((f"成功啦", '请查收结果（压缩包）...')) | |
| yield from update_ui(chatbot=chatbot, history=history); | |
| time.sleep(1) # 刷新界面 | |
| promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) | |
| else: | |
| chatbot.append((f"失败了", | |
| '虽然PDF生成失败了, 但请查收结果（压缩包）, 内含已经翻译的Tex文档, 您可以到Github Issue区, 用该压缩包进行反馈。如系统是Linux，请检查系统字体（见Github wiki） ...')) | |
| yield from update_ui(chatbot=chatbot, history=history); | |
| time.sleep(1) # 刷新界面 | |
| promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) | |
| # <-------------- we are done -------------> | |
| return success | |
| # =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- 插件主程序3 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | |
| def PDF翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port): | |
| # <-------------- information about this plugin -------------> | |
| chatbot.append([ | |
| "函数插件功能？", | |
| "将PDF转换为Latex项目，翻译为中文后重新编译为PDF。函数插件贡献者: Marroh。注意事项: 此插件Windows支持最佳，Linux下必须使用Docker安装，详见项目主README.md。目前仅支持GPT3.5/GPT4，其他模型转化效果未知。目前对机器学习类文献转化效果最好，其他类型文献转化效果未知。"]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| # <-------------- more requirements -------------> | |
| if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg") | |
| more_req = plugin_kwargs.get("advanced_arg", "") | |
| no_cache = more_req.startswith("--no-cache") | |
| if no_cache: more_req.lstrip("--no-cache") | |
| allow_cache = not no_cache | |
| _switch_prompt_ = partial(switch_prompt, more_requirement=more_req) | |
| # <-------------- check deps -------------> | |
| try: | |
| import glob, os, time, subprocess | |
| subprocess.Popen(['pdflatex', '-version']) | |
| from .latex_fns.latex_actions import Latex精细分解与转化, 编译Latex | |
| except Exception as e: | |
| chatbot.append([f"解析项目: {txt}", | |
| f"尝试执行Latex指令失败。Latex没有安装, 或者不在环境变量PATH中。安装方法https://tug.org/texlive/。报错信息\n\n```\n\n{trimmed_format_exc()}\n\n```\n\n"]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| return | |
| # <-------------- clear history and read input -------------> | |
| 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法处理: {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}/**/*.pdf', 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.pdf文件: {txt}") | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| return | |
| if len(file_manifest) != 1: | |
| report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"不支持同时处理多个pdf文件: {txt}") | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| return | |
| app_id, app_key = get_conf('MATHPIX_APPID', 'MATHPIX_APPKEY') | |
| if len(app_id) == 0 or len(app_key) == 0: | |
| report_exception(chatbot, history, a="缺失 MATHPIX_APPID 和 MATHPIX_APPKEY。", b=f"请配置 MATHPIX_APPID 和 MATHPIX_APPKEY") | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| return | |
| # <-------------- convert pdf into tex -------------> | |
| project_folder = pdf2tex_project(file_manifest[0]) | |
| # Translate English Latex to Chinese Latex, and compile it | |
| 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 | |
| # <-------------- if is a zip/tar file -------------> | |
| project_folder = desend_to_extracted_folder_if_exist(project_folder) | |
| # <-------------- move latex project away from temp folder -------------> | |
| project_folder = move_project(project_folder) | |
| # <-------------- if merge_translate_zh is already generated, skip gpt req -------------> | |
| if not os.path.exists(project_folder + '/merge_translate_zh.tex'): | |
| yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, | |
| chatbot, history, system_prompt, mode='translate_zh', | |
| switch_prompt=_switch_prompt_) | |
| # <-------------- compile PDF -------------> | |
| success = yield from 编译Latex(chatbot, history, main_file_original='merge', | |
| main_file_modified='merge_translate_zh', mode='translate_zh', | |
| work_folder_original=project_folder, work_folder_modified=project_folder, | |
| work_folder=project_folder) | |
| # <-------------- zip PDF -------------> | |
| zip_res = zip_result(project_folder) | |
| if success: | |
| chatbot.append((f"成功啦", '请查收结果（压缩包）...')) | |
| yield from update_ui(chatbot=chatbot, history=history); | |
| time.sleep(1) # 刷新界面 | |
| promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) | |
| else: | |
| chatbot.append((f"失败了", | |
| '虽然PDF生成失败了, 但请查收结果（压缩包）, 内含已经翻译的Tex文档, 您可以到Github Issue区, 用该压缩包进行反馈。如系统是Linux，请检查系统字体（见Github wiki） ...')) | |
| yield from update_ui(chatbot=chatbot, history=history); | |
| time.sleep(1) # 刷新界面 | |
| promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) | |
| # <-------------- we are done -------------> | |
| return success | |