├── .github └── ISSUE_TEMPLATE │ ├── bug-report---错误报告.md │ ├── feature-request---功能-建议提出.md │ └── other-issue---其他问题.md ├── LICENSE ├── Lib ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-312.pyc │ ├── compose.cpython-312.pyc │ ├── config.cpython-312.pyc │ ├── data_process.cpython-312.pyc │ ├── direct_mode.cpython-312.pyc │ ├── extract.cpython-312.pyc │ ├── output.cpython-312.pyc │ ├── playwright_process.cpython-312.pyc │ └── print_redirector.cpython-312.pyc ├── compose.py ├── config.py ├── continue_trans.py ├── data_process.py ├── deeplx_darwin_amd64 ├── deeplx_darwin_arm64 ├── deeplx_windows_amd64.exe ├── deeplxfile.ico ├── direct_mode.py ├── extract.py ├── llm_translate.py ├── output.py ├── playwright_process.py ├── test.py └── webkit │ └── PLACE_PLAYWRGHT_WEBKIT_HERE ├── README.md ├── README_translated.md ├── config.json ├── deeplxfile_gui.py └── images ├── MacOS.png ├── deeplx_file_support.png ├── deeplxfile_quality.png ├── pdf_demo_animation.gif ├── pdf_translate.png └── playwright.gif /.github/ISSUE_TEMPLATE/bug-report---错误报告.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: Bug report / 错误报告 3 | about: Create a report to help us improve / 让我们改进这个项目！ 4 | title: '' 5 | labels: '' 6 | assignees: '' 7 | 8 | --- 9 | 10 | **Describe the bug这个Bug是啥？** 11 | A clear and concise description of what the bug is. 12 | 一个清晰的描述有助于我了解问题的重现 13 | 14 | **To Reproduce如何重新这个Bug？** 15 | 16 | 17 | **Expected behavior预期的行为？** 18 | A clear and concise description of what you expected to happen. 19 | 20 | 21 | **Screenshots截图** 22 | If applicable, add screenshots to help explain your problem. 23 | 有需要也可以贴上截图 24 | 25 | **Additional context其他** 26 | Add any other context about the problem here. 27 | 其他项：您想要补充的内容/软件版本/运行环境等 28 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/feature-request---功能-建议提出.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: Feature request / 功能、建议提出 3 | about: Suggest an idea for this project / 您有什么想法都可以在这里写！ 4 | title: '' 5 | labels: '' 6 | assignees: '' 7 | 8 | --- 9 | 10 | 11 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/other-issue---其他问题.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: Other issue / 其他问题 3 | about: blank issue 4 | title: '' 5 | labels: '' 6 | assignees: '' 7 | 8 | --- 9 | 10 | 11 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 596 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 599 | 600 | 16. Limitation of Liability. 601 | 602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 610 | SUCH DAMAGES. 611 | 612 | 17. Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /Lib/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/__init__.py -------------------------------------------------------------------------------- /Lib/__pycache__/__init__.cpython-312.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/__pycache__/__init__.cpython-312.pyc -------------------------------------------------------------------------------- /Lib/__pycache__/compose.cpython-312.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/__pycache__/compose.cpython-312.pyc -------------------------------------------------------------------------------- /Lib/__pycache__/config.cpython-312.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/__pycache__/config.cpython-312.pyc -------------------------------------------------------------------------------- /Lib/__pycache__/data_process.cpython-312.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/__pycache__/data_process.cpython-312.pyc -------------------------------------------------------------------------------- /Lib/__pycache__/direct_mode.cpython-312.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/__pycache__/direct_mode.cpython-312.pyc -------------------------------------------------------------------------------- /Lib/__pycache__/extract.cpython-312.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/__pycache__/extract.cpython-312.pyc -------------------------------------------------------------------------------- /Lib/__pycache__/output.cpython-312.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/__pycache__/output.cpython-312.pyc -------------------------------------------------------------------------------- /Lib/__pycache__/playwright_process.cpython-312.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/__pycache__/playwright_process.cpython-312.pyc -------------------------------------------------------------------------------- /Lib/__pycache__/print_redirector.cpython-312.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/__pycache__/print_redirector.cpython-312.pyc -------------------------------------------------------------------------------- /Lib/compose.py: -------------------------------------------------------------------------------- 1 | import os 2 | import zipfile 3 | from lxml import etree as ET 4 | import tempfile 5 | from Lib.config import config 6 | #from config import config 7 | 8 | def read_strings_from_file(file_path): 9 | with open(file_path, 'r', encoding='utf-8') as f: 10 | return [line.strip() for line in f.readlines()] 11 | 12 | def update_shared_strings_in_xlsx(file_path, strings, enhance_mode): 13 | with tempfile.TemporaryDirectory() as tmpdirname: 14 | # 解压缩 .xlsx 文件 15 | with zipfile.ZipFile(file_path, 'r') as zip_ref: 16 | zip_ref.extractall(tmpdirname) 17 | 18 | # 获取文件路径 19 | shared_strings_path = os.path.join(tmpdirname, 'xl', 'sharedStrings.xml') 20 | workbook_path = os.path.join(tmpdirname, 'xl', 'workbook.xml') 21 | 22 | if not os.path.exists(shared_strings_path) or not os.path.exists(workbook_path): 23 | print("共享字符串文件或 workbook.xml 文件不存在, 请检查 Excel 文档是否有误") 24 | return 25 | 26 | # 解析 workbook.xml 文件中的 sheet 标签 27 | if enhance_mode: 28 | tree = ET.parse(workbook_path) 29 | root = tree.getroot() 30 | sheet_elements = list(root.iter('{http://schemas.openxmlformats.org/spreadsheetml/2006/main}sheet')) 31 | 32 | # 检查 strings 数量是否足够 33 | if len(strings) < len(sheet_elements): 34 | print(f"警告: 提供的字符串数量 ({len(strings)}) 不足以替换 workbook.xml 中的 sheet 标签数量 ({len(sheet_elements)})。") 35 | return 36 | 37 | # 替换 sheet 标签名称 38 | for sheet_element, new_sheet_name in zip(sheet_elements, strings[:len(sheet_elements)]): 39 | sheet_element.set('name', new_sheet_name) 40 | 41 | # 保存修改后的 workbook.xml 42 | tree.write(workbook_path, xml_declaration=True, encoding='UTF-8', standalone=True) 43 | 44 | # 更新 strings 列表，去除已用于 sheet 标签的内容 45 | strings = strings[len(sheet_elements):] 46 | 47 | # 解析 sharedStrings.xml 文件 48 | parser = ET.XMLParser(remove_blank_text=False) 49 | tree = ET.parse(shared_strings_path, parser) 50 | root = tree.getroot() 51 | 52 | t_elements = list(root.iter('{http://schemas.openxmlformats.org/spreadsheetml/2006/main}t')) 53 | 54 | if len(strings) != len(t_elements): 55 | print(f"警告: 提供的字符串数量 ({len(strings)}) 与现有 标签数量 ({len(t_elements)}) 不匹配。") 56 | else: 57 | print("已匹配所有标签") 58 | 59 | # 更新 sharedStrings.xml 中的 标签 60 | for t_element, new_string in zip(t_elements, strings): 61 | original_text = t_element.text 62 | if original_text is not None and '\n' in original_text: 63 | new_string = new_string.replace(' ', '') 64 | lines = original_text.splitlines() 65 | if config.get("save_original", False): 66 | t_element.text = lines[0] + new_string 67 | if len(lines) > 1: 68 | t_element.text += '\n' + '\n'.join(lines[1:]) 69 | else: 70 | t_element.text = new_string 71 | if len(lines) > 1: 72 | t_element.text += '\n' + '\n'.join(lines[1:]) 73 | else: 74 | if config.get("save_original", False): 75 | t_element.text = (original_text or '') + new_string 76 | else: 77 | t_element.text = new_string 78 | 79 | # 将修改后的 sharedStrings.xml 文件写回 80 | tree.write(shared_strings_path, xml_declaration=True, encoding='UTF-8', pretty_print=False, standalone=True) 81 | 82 | new_xlsx_path = file_path.replace('.xlsx', '_translated.xlsx') 83 | 84 | # 如果文件已存在，则删除 85 | if os.path.exists(new_xlsx_path): 86 | os.remove(new_xlsx_path) 87 | 88 | # 将修改后的文件压缩回 .xlsx 89 | with zipfile.ZipFile(new_xlsx_path, 'w') as zip_ref: 90 | for foldername, subfolders, filenames in os.walk(tmpdirname): 91 | for filename in filenames: 92 | file_path = os.path.join(foldername, filename) 93 | arcname = os.path.relpath(file_path, tmpdirname) 94 | zip_ref.write(file_path, arcname) 95 | 96 | 97 | def update_shared_strings_in_docx(file_path, strings): 98 | with tempfile.TemporaryDirectory() as tmpdirname: 99 | with zipfile.ZipFile(file_path, 'r') as zip_ref: 100 | zip_ref.extractall(tmpdirname) 101 | 102 | shared_strings_path = os.path.join(tmpdirname, 'word', 'document.xml') 103 | 104 | if not os.path.exists(shared_strings_path): 105 | print("错误：document.xml 文件不存在。") 106 | return 107 | 108 | parser = ET.XMLParser(remove_blank_text=True) 109 | tree = ET.parse(shared_strings_path, parser) 110 | root = tree.getroot() 111 | 112 | namespaces = {'w': 'http://schemas.openxmlformats.org/wordprocessingml/2006/main'} 113 | t_elements = root.xpath('//w:t', namespaces=namespaces) 114 | 115 | if len(strings) != len(t_elements): 116 | print(f"警告: 提供的字符串数量 ({len(strings)}) 与现有 标签数量 ({len(t_elements)}) 不匹配。") 117 | 118 | for t_element, new_string in zip(t_elements, strings): 119 | if config.get("save_original", False): 120 | t_element.text = (t_element.text or '') + new_string 121 | else: 122 | t_element.text = new_string 123 | 124 | tree.write(shared_strings_path, xml_declaration=True, encoding='UTF-8', pretty_print=True) 125 | 126 | new_docx_path = file_path.replace('.docx', '_translated.docx') 127 | 128 | if os.path.exists(new_docx_path): 129 | os.remove(new_docx_path) 130 | 131 | with zipfile.ZipFile(new_docx_path, 'w') as zip_ref: 132 | for foldername, subfolders, filenames in os.walk(tmpdirname): 133 | for filename in filenames: 134 | file_path = os.path.join(foldername, filename) 135 | arcname = os.path.relpath(file_path, tmpdirname) 136 | zip_ref.write(file_path, arcname) 137 | 138 | def update_shared_strings_in_pptx(file_path, strings): 139 | with tempfile.TemporaryDirectory() as tmpdirname: 140 | with zipfile.ZipFile(file_path, 'r') as zip_ref: 141 | zip_ref.extractall(tmpdirname) 142 | 143 | slides_dir = os.path.join(tmpdirname, 'ppt', 'slides') 144 | 145 | if not os.path.exists(slides_dir): 146 | print("错误：slides 目录不存在。") 147 | return 148 | 149 | parser = ET.XMLParser(remove_blank_text=True) 150 | slide_files = sorted([f for f in os.listdir(slides_dir) if f.endswith('.xml')]) 151 | 152 | string_index = 0 153 | 154 | for slide_file in slide_files: 155 | slide_path = os.path.join(slides_dir, slide_file) 156 | tree = ET.parse(slide_path, parser) 157 | root = tree.getroot() 158 | 159 | namespaces = {'a': 'http://schemas.openxmlformats.org/drawingml/2006/main'} 160 | t_elements = root.xpath('//a:t', namespaces=namespaces) 161 | 162 | for t_element in t_elements: 163 | if string_index < len(strings): 164 | if config.get("save_original", False): 165 | t_element.text = (t_element.text or '') + strings[string_index] 166 | else: 167 | t_element.text = strings[string_index] 168 | string_index += 1 169 | else: 170 | break 171 | 172 | # 更新后的内容写回幻灯片文件 173 | tree.write(slide_path, xml_declaration=True, encoding='UTF-8', pretty_print=True) 174 | 175 | if string_index < len(strings): 176 | print(f"警告: 提供的字符串数量 ({len(strings)}) 超过了现有 标签数量 ({string_index})，未能完全替换。") 177 | 178 | new_pptx_path = file_path.replace('.pptx', '_translated.pptx') 179 | 180 | if os.path.exists(new_pptx_path): 181 | os.remove(new_pptx_path) 182 | 183 | with zipfile.ZipFile(new_pptx_path, 'w') as zip_ref: 184 | for foldername, subfolders, filenames in os.walk(tmpdirname): 185 | for filename in filenames: 186 | file_path = os.path.join(foldername, filename) 187 | arcname = os.path.relpath(file_path, tmpdirname) 188 | zip_ref.write(file_path, arcname) 189 | 190 | print(f"更新后的文件已保存为: {new_pptx_path}") 191 | 192 | def compose_file(file_type, input_path, enhance_mode): 193 | result_file_path = './out/translated_result.txt' 194 | #result_file_path = './translated_result.txt' 195 | # 读取文本文件内容 196 | result_strings = read_strings_from_file(result_file_path) 197 | 198 | if file_type == "Excel": 199 | # 更新 Excel 文件中的 sharedStrings.xml 200 | update_shared_strings_in_xlsx(input_path, result_strings, enhance_mode) 201 | print(f"生成翻译后的电子表格...") 202 | elif file_type == "Word": 203 | update_shared_strings_in_docx(input_path, result_strings) 204 | print(f"生成翻译后的word文档...") 205 | elif file_type == "PowerPoint": 206 | update_shared_strings_in_pptx(input_path, result_strings) 207 | print(f"生成翻译后的ppt文档...") 208 | elif file_type == "PDF": 209 | update_shared_strings_in_docx(input_path, result_strings) 210 | print(f"生成翻译后的PDF文档...") 211 | elif file_type == "TEXT": 212 | base_name, ext = os.path.splitext(input_path) 213 | output_path = base_name + '_translated' + ext 214 | with open(output_path, 'w', encoding='utf-8') as f: 215 | for string in result_strings: 216 | f.write(string + '\n') 217 | print(f"生成翻译后的txt文档") 218 | elif file_type == "Markdown": 219 | base_name, ext = os.path.splitext(input_path) 220 | output_path = base_name + '_translated' + ext 221 | with open(output_path, 'w', encoding='utf-8') as f: 222 | for string in result_strings: 223 | f.write(string + '\n') 224 | print(f"生成翻译后的Markdown文档") 225 | 226 | 227 | ##For test Use 228 | #compose_file("Excel", "./excel_test.xlsx", True) 229 | 230 | 231 | -------------------------------------------------------------------------------- /Lib/config.py: -------------------------------------------------------------------------------- 1 | import os 2 | import json 3 | 4 | # 定义默认配置 5 | default_config = { 6 | "save_original": False, #保留原文件值 7 | "version": "0.5.11", 8 | "dev": False, 9 | "i18n": "ZH", 10 | "playwright_headless": False, 11 | "playwright_path": "./Lib/Webkit/Playwright.exe", # Mac "./Lib/Webkit/pw_run.sh", windows "./Lib/Webkit/Playwright.exe" 12 | "browser_login": False, 13 | "force_lang_select": False, 14 | "translation_mode": "playwright", 15 | "disable_user_profile": False, 16 | "enhance_mode": False, 17 | "deepl_token": "", 18 | "deeplx_core_version": "1.0.4", 19 | "deeplx_server": "", 20 | "llm_api_base": "https://api.openai.com/v1", 21 | "llm_api_key": "", 22 | "llm_model": "gpt-4o", 23 | "llm_prompt": "", 24 | "llm_max_token":"4096" 25 | } 26 | 27 | # 定义配置文件的路径 28 | config_path = './config.json' 29 | 30 | def load_config(): 31 | """加载配置，如果config.json不存在则创建并使用默认配置。""" 32 | if not os.path.exists(config_path): 33 | # 如果不存在，创建config.json并写入默认配置 34 | with open(config_path, 'w', encoding='utf-8') as config_file: 35 | json.dump(default_config, config_file, indent=4) 36 | return default_config 37 | else: 38 | # 如果存在，加载config.json并更新默认配置 39 | with open(config_path, 'r', encoding='utf-8') as config_file: 40 | user_config = json.load(config_file) 41 | # 更新默认配置 42 | return {**default_config, **user_config} 43 | 44 | def save_config(config): 45 | """将配置保存到config.json中""" 46 | with open(config_path, 'w', encoding='utf-8') as config_file: 47 | json.dump(config, config_file, indent=4) 48 | 49 | # 直接加载配置供外部使用 50 | config = load_config() 51 | -------------------------------------------------------------------------------- /Lib/continue_trans.py: -------------------------------------------------------------------------------- 1 | 2 | translated_path = './out/translated_result.txt' 3 | text_extracted_path = './tmp/text_extracted.txt' 4 | continue_path = './tmp/continue.txt' 5 | 6 | def move_lines(): 7 | 8 | 9 | # Read lines from translated_result.txt 10 | with open(translated_path, 'r', encoding='utf-8') as file: 11 | translated_lines = file.readlines() 12 | a = len(translated_lines) 13 | 14 | # Write the translated lines to continue.txt 15 | with open(continue_path, 'w', encoding='utf-8') as file: 16 | file.writelines(translated_lines) 17 | 18 | # Read lines from text_extracted.txt 19 | with open(text_extracted_path, 'r', encoding='utf-8') as file: 20 | text_extracted_lines = file.readlines() 21 | 22 | remaining_text_extracted_lines = text_extracted_lines[a:] 23 | 24 | # Write the remaining lines back to text_extracted.txt 25 | with open(text_extracted_path, 'w', encoding='utf-8') as file: 26 | file.writelines(remaining_text_extracted_lines) 27 | 28 | 29 | def prepend_to_translated_result(): 30 | 31 | # Read lines from continue.txt 32 | with open(continue_path, 'r', encoding='utf-8') as file: 33 | continue_lines = file.readlines() 34 | 35 | # Read original lines from translated_result.txt 36 | with open(translated_path, 'r', encoding='utf-8') as file: 37 | translated_lines = file.readlines() 38 | 39 | # Prepend continue.txt content to translated_result.txt 40 | with open(translated_path, 'w', encoding='utf-8') as file: 41 | file.writelines(continue_lines + translated_lines) 42 | -------------------------------------------------------------------------------- /Lib/data_process.py: -------------------------------------------------------------------------------- 1 | import httpx 2 | import json 3 | import os 4 | import time 5 | from Lib.config import config 6 | output_dir = './out' 7 | os.makedirs(output_dir, exist_ok=True) 8 | 9 | def count_words(line): 10 | # 统计一行中的词数，以空格分隔 11 | return len(line.split()) 12 | 13 | def process_file(file_path, source_lang, target_lang, deepl_token, mode = 'w'): 14 | if deepl_token: 15 | print("deeplx方法：Pro模式，将会消耗token") 16 | deeplx_server = config.get("deeplx_server") 17 | if deeplx_server: 18 | deeplx_api = rf"http://{deeplx_server}/v1/translate?token={deepl_token}" 19 | else: 20 | deeplx_api = "http://127.0.0.1:1188/v1/translate?token={deepl_token}" 21 | else: 22 | print("deeplx方法：免费模式") 23 | deeplx_server = config.get("deeplx_server") 24 | if deeplx_server: 25 | deeplx_api = rf"http://{deeplx_server}/translate" 26 | else: 27 | deeplx_api = "http://127.0.0.1:1188/translate" 28 | 29 | 30 | with open(file_path, 'r', encoding='utf-8') as file: 31 | lines = file.readlines() 32 | 33 | total_word_count = 0 34 | strings_array = [] 35 | current_string = [] 36 | 37 | for i, line in enumerate(lines): 38 | line = line.strip() # 去掉行首尾的空白字符 39 | line_word_count = count_words(line) 40 | total_word_count += line_word_count 41 | 42 | current_string.append(line) # 添加当前行到当前字符串中 43 | 44 | if total_word_count > 1000: 45 | # 当前字符串超过500词，截断并保存 46 | strings_array.append('\n'.join(current_string)) 47 | # 重置统计 48 | total_word_count = 0 49 | current_string = [] 50 | 51 | # 添加最后一部分（如果有剩余） 52 | if current_string: 53 | strings_array.append('\n'.join(current_string)) 54 | alternative_index = 0 # 用于命名 alternatives 文件 55 | with open('./out/translated_result.txt', mode, encoding='utf-8') as result_file: 56 | process_block_count = 1 57 | for s in strings_array: 58 | print(f"正在处理第{process_block_count}个块...") 59 | process_block_count = process_block_count + 1 60 | #json_array = str(s) 61 | data = { 62 | "text": s, 63 | "source_lang": source_lang, 64 | "target_lang": target_lang 65 | } 66 | post_data = json.dumps(data) 67 | #print(post_data) 68 | 69 | retry_count = 0 70 | max_retries = 2 71 | success = False 72 | timeout_value = 20.0 # 秒 73 | retry_interval = 5.0 74 | while retry_count < max_retries: 75 | 76 | try: 77 | print("正在向deepl服务器发送请求") 78 | # 发送POST请求并打印结果 79 | r = httpx.post(url=deeplx_api, data=post_data, timeout=timeout_value) 80 | print("正在等待回传结果...") 81 | response_data = r.json() 82 | 83 | # 检查 'data' 是否存在 84 | if 'data' in response_data: 85 | # 将返回的数据中的
标签替换回换行符 86 | translated_text = response_data['data'] 87 | # 保存 data 内容到 translated_result.txt 88 | result_file.write(translated_text + '\n') 89 | result_file.flush() 90 | success = True 91 | #print(f"收到数据\n {translated_text}") 92 | 93 | # 如果存在 alternatives，保存每个替代到不同的文件 94 | if "alternatives" in response_data and response_data["alternatives"] is not None: 95 | #if False: #暂时不执行这个 96 | alternatives = response_data["alternatives"] 97 | #print(alternatives) 98 | for alternative in alternatives: 99 | with open(f'./out/alternatives({alternative_index}).txt', mode, encoding='utf-8') as alt_file: 100 | alt_file.write(alternative + '\n') 101 | alternative_index += 1 102 | break # 成功处理后退出重试循环 103 | 104 | else: 105 | raise ValueError("未找到返回数据，可能是因为请求过于频繁，程序将会尝试重试\n 这可能是deeplx内核的问题，可以重启程序然后尝试兼容性更强的playwright模式") 106 | 107 | except (httpx.RequestError, ValueError) as exc: 108 | retry_count += 1 109 | if retry_count < max_retries: 110 | print(f"发生错误: {exc}. 程序将在{retry_interval} 秒后尝试... ({retry_count}/{max_retries})\n你可能需要切换到兼容性更强的playwright模式") 111 | time.sleep(retry_interval) 112 | else: 113 | print(f"已达到最大尝试值： {max_retries} ，翻译失败，正在尝试下一区块翻译") 114 | 115 | if not success: 116 | error_lines = s.splitlines() 117 | error_messages = [f"Error: {error_line}" for error_line in error_lines] 118 | error_message = "\n".join(error_messages) + "\n" 119 | result_file.write(error_message) 120 | print(f"已达到最大尝试值： {max_retries} ，翻译失败，正在尝试下一区块翻译") 121 | 122 | 123 | -------------------------------------------------------------------------------- /Lib/deeplx_darwin_amd64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/deeplx_darwin_amd64 -------------------------------------------------------------------------------- /Lib/deeplx_darwin_arm64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/deeplx_darwin_arm64 -------------------------------------------------------------------------------- /Lib/deeplx_windows_amd64.exe: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/deeplx_windows_amd64.exe -------------------------------------------------------------------------------- /Lib/deeplxfile.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/deeplxfile.ico -------------------------------------------------------------------------------- /Lib/direct_mode.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import time 3 | import os 4 | output_dir = './out' 5 | os.makedirs(output_dir, exist_ok=True) 6 | 7 | def count_words(line): 8 | # 统计一行中的词数，以空格分隔 9 | return len(line.split()) 10 | 11 | def process_file(file_path, source_lang, target_lang): 12 | with open(file_path, 'r', encoding='utf-8') as file: 13 | lines = file.readlines() 14 | 15 | total_word_count = 0 16 | strings_array = [] 17 | current_string = [] 18 | 19 | for i, line in enumerate(lines): 20 | line = line.strip() # 去掉行首尾的空白字符 21 | line_word_count = count_words(line) 22 | total_word_count += line_word_count 23 | 24 | current_string.append(line) # 添加当前行到当前字符串中 25 | 26 | if total_word_count > 1000: 27 | # 当前字符串超过500词，截断并保存 28 | strings_array.append('\n'.join(current_string)) 29 | # 重置统计 30 | total_word_count = 0 31 | current_string = [] 32 | 33 | # 添加最后一部分（如果有剩余） 34 | if current_string: 35 | strings_array.append('\n'.join(current_string)) 36 | alternative_index = 0 # 用于命名 alternatives 文件 37 | #source_lang = "EN" 38 | with open('./out/translated_result.txt', 'w', encoding='utf-8') as result_file: 39 | process_block_count = 1 40 | for s in strings_array: 41 | print(f"正在处理第{process_block_count}个块...") 42 | process_block_count = process_block_count + 1 43 | s_lines = s.splitlines() # 将多行字符串分割成行列表 44 | payload_texts = [{"text": line, "requestAlternatives": 0, "source_lang": source_lang} 45 | for line in enumerate(s_lines)] 46 | #print(payload_texts) 47 | ## 构造请求头 48 | url = "https://www2.deepl.com/jsonrpc" 49 | headers = { 50 | "Content-Type": "application/json", 51 | "User-Agent": "Mozilla/5.0" 52 | } 53 | payload = { 54 | "jsonrpc": "2.0", 55 | "method": "LMT_handle_texts", 56 | "params": { 57 | "texts": payload_texts, 58 | "lang": { 59 | "source_lang": source_lang, # 指定源语言 60 | "target_lang": target_lang 61 | }, 62 | "priority": 1, 63 | "commonJobParams": {}, 64 | "timestamp": int(time.time() * 1000) 65 | } 66 | } 67 | 68 | 69 | max_retries = 5 70 | retry_count = 0 71 | success = False 72 | 73 | while retry_count < max_retries and not success: 74 | try: 75 | response = requests.post(url, json=payload, headers=headers, timeout=30) 76 | print("正在等待返回结果") 77 | if response.status_code == 200: 78 | result_origin = response.json() 79 | #print(f"收到返回值\n{result_origin}\n") 80 | 81 | # 处理所有结果并去掉 index 82 | for item in result_origin['result']['texts']: 83 | # 去掉前面的 index（假设格式始终是 "index: 内容"） 84 | text = item['text'] 85 | result_file.write(text + '\n') 86 | 87 | success = True 88 | 89 | else: 90 | raise ValueError("未找到返回数据，可能是因为请求过于频繁，程序将会尝试重试") 91 | 92 | except (requests.exceptions.RequestException, ValueError) as exc: 93 | retry_count += 1 94 | if retry_count < max_retries: 95 | print(f"Error occurred: {exc}. Retrying in 10 seconds... ({retry_count}/{max_retries})") 96 | time.sleep(10) 97 | else: 98 | print(f"Failed after {max_retries} retries. Moving on to the next string.") 99 | 100 | if not success: 101 | error_lines = s.splitlines() 102 | error_messages = [f"Error: {error_line}" for error_line in error_lines] 103 | error_message = "\n".join(error_messages) + "\n" 104 | result_file.write(error_message) 105 | print(f"Failed after {max_retries} retries. Moving on to the next string.") -------------------------------------------------------------------------------- /Lib/extract.py: -------------------------------------------------------------------------------- 1 | """ 2 | Replacing Newline Characters: Within the extract_strings_from_xlsx function, 3 | any newline characters within the text of each tag are replaced with a space. 4 | This ensures that each tag's content is treated as a single line when writing to the output file. 5 | 6 | Handling Empty Tags: The code includes a check to ensure that if a tag is empty (None), 7 | it does not cause an error. 8 | 9 | """ 10 | 11 | import os 12 | import zipfile 13 | import tempfile 14 | import socket 15 | import json 16 | from lxml import etree as ET 17 | from tkinter import filedialog 18 | 19 | tmp_dir = './tmp' 20 | input_path = "" 21 | file_type = "" 22 | process_cancelled = bool() 23 | if not os.path.exists(tmp_dir): 24 | os.makedirs(tmp_dir) 25 | 26 | def extract_strings_from_xlsx(file_path, enhance_mode): 27 | # 创建临时目录 28 | with tempfile.TemporaryDirectory() as tmpdirname: 29 | # 解压缩 .xlsx 文件 30 | with zipfile.ZipFile(file_path, 'r') as zip_ref: 31 | zip_ref.extractall(tmpdirname) 32 | 33 | # 存储字符串 34 | strings = [] 35 | 36 | if enhance_mode: 37 | # 解析 workbook.xml 文件 38 | workbook_path = os.path.join(tmpdirname, 'xl', 'workbook.xml') 39 | if not os.path.exists(workbook_path): 40 | print("workbook.xml 文件不存在。") 41 | return 42 | tree = ET.parse(workbook_path) 43 | root = tree.getroot() 44 | 45 | for sheet in root.iter('{http://schemas.openxmlformats.org/spreadsheetml/2006/main}sheet'): 46 | sheet_name = sheet.get('name', '') 47 | if sheet_name: 48 | strings.append(sheet_name) 49 | 50 | # 读取 sharedStrings.xml 文件 51 | shared_strings_path = os.path.join(tmpdirname, 'xl', 'sharedStrings.xml') 52 | if not os.path.exists(shared_strings_path): 53 | print("sharedStrings.xml 文件不存在。") 54 | return [] 55 | tree = ET.parse(shared_strings_path) 56 | root = tree.getroot() 57 | # 查找所有 标签 58 | for t in root.iter('{http://schemas.openxmlformats.org/spreadsheetml/2006/main}t'): 59 | # 将所有换行符替换为单个空格，确保每个 标签的内容是一行 60 | text_content = t.text.replace('\n', ' ') if t.text else '' 61 | strings.append(text_content) 62 | 63 | return strings 64 | 65 | 66 | def extract_strings_from_docx(file_path): 67 | with tempfile.TemporaryDirectory() as tmpdirname: 68 | with zipfile.ZipFile(file_path, 'r') as zip_ref: 69 | zip_ref.extractall(tmpdirname) 70 | 71 | document_path = os.path.join(tmpdirname, 'word', 'document.xml') 72 | 73 | if not os.path.exists(document_path): 74 | print("错误：document.xml 文件不存在，请确认是合法的word文档。") 75 | return [] 76 | 77 | tree = ET.parse(document_path) 78 | root = tree.getroot() 79 | 80 | strings = [] 81 | 82 | for t in root.iter('{http://schemas.openxmlformats.org/wordprocessingml/2006/main}t'): 83 | text_content = t.text.replace('\n', ' ') if t.text else '' 84 | strings.append(text_content) 85 | 86 | return strings 87 | 88 | def extract_strings_from_pptx(file_path): 89 | with tempfile.TemporaryDirectory() as tmpdirname: 90 | with zipfile.ZipFile(file_path, 'r') as zip_ref: 91 | zip_ref.extractall(tmpdirname) 92 | 93 | slides_dir = os.path.join(tmpdirname, 'ppt', 'slides') 94 | 95 | if not os.path.exists(slides_dir): 96 | print("错误：slides 目录不存在，请确认是合法的 PowerPoint 文档。") 97 | return [] 98 | 99 | strings = [] 100 | 101 | slide_files = sorted([f for f in os.listdir(slides_dir) if f.endswith('.xml')]) 102 | 103 | for slide_file in slide_files: 104 | if slide_file.endswith('.xml'): 105 | slide_path = os.path.join(slides_dir, slide_file) 106 | print(f"正在处理{slide_file}") 107 | tree = ET.parse(slide_path) 108 | root = tree.getroot() 109 | 110 | for t in root.iter('{http://schemas.openxmlformats.org/drawingml/2006/main}t'): 111 | text_content = t.text.replace('\n', ' ') if t.text else '' 112 | strings.append(text_content) 113 | 114 | return strings 115 | 116 | def requests_docx(message, docx_path): 117 | try: 118 | client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) 119 | client_socket.connect(('localhost', 9999)) 120 | 121 | # 发送消息到服务器 122 | client_socket.send(message.encode('utf-8')) 123 | print(f"Sent requests to server") 124 | 125 | # 接收服务器的响应 126 | response = client_socket.recv(1024).decode('utf-8') 127 | print(f"Received from server..") 128 | 129 | # 调用docx处理流程 130 | strings = extract_strings_from_docx(docx_path) 131 | 132 | except socket.error as e: 133 | raise Exception(f"Socket error: {e}\n请检查PDF服务是否运行\n 如果未下载请前往下载\nhttps://github.com/infrost/pdf2docxserver/releases/") 134 | strings = "" 135 | except Exception as e: 136 | strings = "" 137 | raise Exception(f"An unexpected error occurred: {e}") 138 | finally: 139 | client_socket.close() 140 | return strings 141 | 142 | 143 | 144 | def write_strings_to_file(strings, output_file): 145 | with open(output_file, 'w', encoding='utf-8') as f: 146 | for string in strings: 147 | f.write(f"{string}\n") 148 | 149 | 150 | def extract_file(enhance_mode): 151 | global process_cancelled 152 | # 打开文件选择对话框 153 | file_path = filedialog.askopenfilename( 154 | title='选择一个文件，目前支持了Excel,Word,PowerPoint', 155 | filetypes=[ 156 | ('Excel, PowerPoint, Word, PDF, Markdown, Text', '*.xlsx *.pptx *.docx *.pdf *.md *.txt'), 157 | ('All Files', '*.*') 158 | ] 159 | ) 160 | 161 | if not file_path: 162 | print("没有选择文件。") 163 | process_cancelled = True 164 | return 165 | 166 | global input_path 167 | input_path = file_path 168 | 169 | supported_files = [".xlsx",".docx",".pptx", ".pdf", ".md", ".txt"] 170 | file_extension = os.path.splitext(file_path)[1].lower() 171 | global file_type 172 | if file_extension not in supported_files: 173 | print("错误：不受支持的文件") 174 | process_cancelled = True 175 | return 176 | if file_extension == ".xlsx": 177 | file_type = "Excel" 178 | strings = extract_strings_from_xlsx(file_path, enhance_mode) 179 | elif file_extension == ".docx": 180 | file_type = "Word" 181 | strings = extract_strings_from_docx(file_path) 182 | elif file_extension == ".pptx": 183 | file_type = "PowerPoint" 184 | strings = extract_strings_from_pptx(file_path) 185 | elif file_extension == ".pdf": 186 | file_type = "PDF" 187 | base, _ = os.path.splitext(file_path) 188 | docx_path = base + '.docx' 189 | data = { 190 | "source_path": file_path, 191 | "output_path": docx_path, 192 | "arg": False 193 | } 194 | message = json.dumps(data) 195 | strings = requests_docx(message, docx_path) 196 | if not strings: 197 | process_cancelled = True 198 | return 199 | input_path = docx_path 200 | elif file_extension == ".md" or ".txt": 201 | if file_extension == ".md": 202 | file_type = "Markown" 203 | else: 204 | file_type = "TEXT" 205 | 206 | print (f"纯文本文件，无需预处理") 207 | strings = [] 208 | with open(input_path, 'r', encoding='utf-8') as file: 209 | for line in file: 210 | strings.append(line.strip()) 211 | 212 | 213 | print(f"已处理{file_type}文件: {input_path}") 214 | output_file = os.path.join(tmp_dir, 'text_extracted.txt') 215 | write_strings_to_file(strings, output_file) 216 | print(f"提取的字符串已写入 {output_file}") 217 | 218 | 219 | 220 | -------------------------------------------------------------------------------- /Lib/llm_translate.py: -------------------------------------------------------------------------------- 1 | import openai 2 | import time 3 | import os 4 | import json 5 | output_dir = './out' 6 | os.makedirs(output_dir, exist_ok=True) 7 | 8 | languages = { 9 | "zh-Hans": "中文(简体)", 10 | "zh-Hant": "中文(繁体)", 11 | "en-US": "英文(美国)", 12 | "en-GB": "英文(英国)", 13 | "ja": "日文", 14 | "ko": "韩文", 15 | "fr": "法文", 16 | "de": "德文", 17 | "ru": "俄文", 18 | "es": "西班牙文", 19 | "it": "意大利文", 20 | "pt": "葡萄牙文", 21 | } 22 | 23 | def llm_process(file_path, source_lang, target_lang, api_base, api_key, model, max_token = 4096, custom_prompt = "", mode = 'w', retries = 3, delay = 5): 24 | openai.api_base = api_base 25 | openai.api_key = api_key 26 | llm_prompt = custom_prompt 27 | target_language_name = languages.get(target_lang, target_lang) 28 | if llm_prompt and llm_prompt is not None: 29 | system_prompt = (f"你是一个翻译助手，以json格式输出。翻译要求:{llm_prompt}\n" 30 | f"请将以下文本逐行翻译成语言代码为`{target_language_name}`，并确保每一行都被翻译，包括空行。" 31 | "**请确保翻译前后行数完全一致，除此之外不要有多余的消息**") 32 | else: 33 | system_prompt = (f"你是一个翻译助手，以json格式输出。请将以下文本逐行翻译成语言代码为`{target_language_name}`，" 34 | "并确保每一行都被翻译，包括空行。**请确保翻译前后行数完全一致，除此之外不要有多余的消息**") 35 | 36 | def get_response_from_model(source_data, prompt): 37 | messages = source_data 38 | print("正在向大模型发送翻译请求，可能需要一些时间...") 39 | for attempt in range(retries): 40 | try: 41 | response = openai.ChatCompletion.create( 42 | model=model, 43 | messages=[ 44 | {"role": "system", "content": prompt}, 45 | {"role": "user", "content": messages} 46 | ] 47 | ) 48 | return response.choices[0].message['content'].strip() 49 | 50 | except openai.error.OpenAIError as e: 51 | print(f"OpenAI API error on attempt {attempt + 1}: {e}") 52 | if attempt < retries - 1: 53 | print(f"Retrying in {delay} seconds...") 54 | time.sleep(delay) 55 | else: 56 | print("Max retries reached. Unable to get a response.") 57 | return "" 58 | except Exception as e: 59 | print(f"Unexpected error on attempt {attempt + 1}: {e}") 60 | if attempt < retries - 1: 61 | print(f"Retrying in {delay} seconds...") 62 | time.sleep(delay) 63 | else: 64 | print("Max retries reached. Unable to get a response.") 65 | return "" 66 | 67 | def convert_to_json(text): 68 | lines = text.split('\n') 69 | json_data = [{"line" + str(index + 1): line} for index, line in enumerate(lines)] 70 | return json.dumps(json_data, ensure_ascii=False, indent=4) 71 | 72 | def convert_json_to_text(json_text): 73 | json_data = json.loads(json_text) 74 | lines = [list(item.values())[0] for item in json_data] 75 | # 使用 join 拼接所有行 76 | result = "\n".join(lines) 77 | # 如果 JSON 的最后一行为空字符串，确保结果末尾保留换行符 78 | if json_data and list(json_data[-1].values())[0] == "": 79 | if not result.endswith("\n"): 80 | result += "\n" 81 | return result 82 | 83 | def split_text_into_chunks(text, max_tokens): 84 | # 确保 max_tokens 为整数 85 | if not isinstance(max_tokens, int): 86 | try: 87 | max_tokens = int(max_tokens) 88 | except ValueError: 89 | print("Invalid max_tokens value. It must be an integer.") 90 | return [] 91 | # 将文本转换为 JSON 数据（列表形式） 92 | data = json.loads(convert_to_json(text)) 93 | 94 | chunks = [] 95 | current_chunk = [] 96 | current_tokens = 0 97 | 98 | for item in data: 99 | item_tokens = len(json.dumps(item)) 100 | if current_tokens + item_tokens > max_tokens: 101 | chunks.append(json.dumps(current_chunk, ensure_ascii=False)) 102 | current_chunk = [] 103 | current_tokens = 0 104 | current_chunk.append(item) 105 | current_tokens += item_tokens 106 | 107 | if current_chunk: 108 | chunks.append(json.dumps(current_chunk, ensure_ascii=False)) 109 | 110 | return chunks 111 | 112 | # 读取文件内容 113 | try: 114 | with open(file_path, 'r', encoding='utf-8') as file: 115 | text = file.read() 116 | except FileNotFoundError: 117 | print(f"File not found: {file_path}") 118 | return "" 119 | except Exception as e: 120 | print(f"Error reading file {file_path}: {e}") 121 | return "" 122 | 123 | # 根据 max_token 限制，将文本拆分为多个块 124 | text_chunks = split_text_into_chunks(text, max_token) 125 | translated_text = "" 126 | 127 | for i, chunk in enumerate(text_chunks): 128 | translated_chunk = get_response_from_model(chunk, system_prompt) 129 | if translated_chunk: 130 | print(translated_chunk) 131 | # 如果是最后一个块，则不额外添加换行符 132 | if i == len(text_chunks) - 1: 133 | translated_text += convert_json_to_text(translated_chunk) 134 | else: 135 | translated_text += convert_json_to_text(translated_chunk) + '\n' 136 | else: 137 | print("Skipping chunk due to translation failure.") 138 | 139 | if not translated_text: 140 | print("No translation results available.") 141 | return "" 142 | 143 | try: 144 | with open('./out/translated_result.txt', mode, encoding='utf-8') as output_file: 145 | output_file.write(translated_text) 146 | print("Translation complete.") 147 | except Exception as e: 148 | print(f"Error writing to file: {e}") 149 | return "" 150 | -------------------------------------------------------------------------------- /Lib/output.py: -------------------------------------------------------------------------------- 1 | import sys 2 | import io 3 | 4 | class RedirectText(io.StringIO): 5 | def __init__(self, text_widget, tag): 6 | super().__init__() 7 | self.text_widget = text_widget 8 | self.tag = tag 9 | 10 | def write(self, message): 11 | if isinstance(message, bytes): 12 | message = message.decode('utf-8') 13 | self.text_widget.insert('end', message, self.tag) 14 | self.text_widget.see('end') # 自动滚动到文本框的底部 15 | 16 | def flush(self): 17 | pass # flush方法可以留空 18 | 19 | def start_redirect(text_widget): 20 | redirector_out = RedirectText(text_widget, "default") 21 | redirector_err = RedirectText(text_widget, "error") 22 | sys.stdout = redirector_out 23 | sys.stderr = redirector_err 24 | 25 | def send_warning(text_widget, message): 26 | text_widget.insert('end', message + '\n', 'warning') 27 | text_widget.see('end') 28 | 29 | def success_message(text_widget, message): 30 | text_widget.insert('end', message + '\n', 'success') 31 | text_widget.see('end') 32 | -------------------------------------------------------------------------------- /Lib/playwright_process.py: -------------------------------------------------------------------------------- 1 | import os 2 | import time 3 | import subprocess 4 | import psutil 5 | from playwright.sync_api import sync_playwright 6 | from pathlib import Path 7 | from Lib.config import config 8 | 9 | output_dir = './out' 10 | os.makedirs(output_dir, exist_ok=True) 11 | make_edge_happy = False 12 | 13 | def count_words(line): 14 | # 统计一行中的词数，以空格分隔 15 | return len(line.split()) 16 | 17 | def process_file(file_path): 18 | with open(file_path, 'r', encoding='utf-8') as file: 19 | lines = file.readlines() 20 | 21 | total_word_count = 0 22 | strings_array = [] 23 | current_string = [] 24 | 25 | for i, line in enumerate(lines): 26 | line = line.strip() # 去掉行首尾的空白字符 27 | line_word_count = count_words(line) 28 | total_word_count += line_word_count 29 | 30 | current_string.append(line) # 添加当前行到当前字符串中 31 | 32 | if total_word_count > 150: 33 | # 当前字符串超过1000词，截断并保存 34 | strings_array.append('\n'.join(current_string)) 35 | # 重置统计 36 | total_word_count = 0 37 | current_string = [] 38 | 39 | # 添加最后一部分（如果有剩余） 40 | if current_string: 41 | strings_array.append('\n'.join(current_string)) 42 | 43 | return strings_array 44 | 45 | def split_text_on_line_boundary(text, midpoint): 46 | # 向前查找换行符 47 | split_point = text.rfind('\n', 0, midpoint) 48 | if split_point == -1: # 如果未找到换行符 49 | # 向后查找换行符 50 | split_point = text.find('\n', midpoint) 51 | if split_point == -1: # 如果仍未找到换行符 52 | split_point = midpoint # 直接使用原始midpoint 53 | 54 | # 根据找到的分割点拆分文本，并保留换行符 55 | part1 = text[:split_point + 1] # 包含换行符 56 | part2 = text[split_point + 1:] # 从换行符之后开始 57 | return part1, part2 58 | 59 | def initialize_edge(disable_user_profile, playwright_headless): 60 | # 结束现有edge进程 61 | print("正在尝试结束现有edge实例...") 62 | if os.name == 'nt': 63 | for proc in psutil.process_iter(): 64 | try: 65 | if proc.name().lower() == "msedge.exe": 66 | proc.terminate() 67 | proc.wait(timeout=5) 68 | except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess): 69 | continue 70 | else: 71 | for proc in psutil.process_iter(): 72 | try: 73 | if proc.name().lower() in ["msedge", "microsoft edge"]: 74 | proc.terminate() 75 | proc.wait(timeout=5) 76 | except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess): 77 | continue 78 | # 构建 Edge 默认用户数据目录路径 79 | print("正在构建带用户数据的调试模式edge...") 80 | if os.name == 'nt': # Windows 81 | username = os.getlogin() 82 | user_data_dir = fr"C:\Users\{username}\AppData\Local\Microsoft\Edge\User Data" 83 | default_edge_path = Path("C:\\Program Files (x86)\\Microsoft\\Edge\\Application\\msedge.exe") 84 | elif os.name == 'posix': # macOS/Linux 85 | username = os.path.basename(os.path.expanduser("~")) 86 | if 'darwin' in os.uname().sysname.lower(): # macOS 87 | default_edge_path = Path("/Applications/Microsoft Edge.app/Contents/MacOS/Microsoft Edge") 88 | user_data_dir = f"/Users/{username}/Library/Application Support/Microsoft Edge" 89 | else: # Linux 90 | user_data_dir = f"/home/{username}/.config/microsoft-edge" 91 | default_edge_path = "/usr/bin/microsoft-edge" 92 | else: 93 | raise OSError("Unsupported operating system") 94 | if not disable_user_profile: 95 | if not os.path.exists(user_data_dir): 96 | print(f"用户数据目录不存在: {user_data_dir}") 97 | user_data_dir = None 98 | if user_data_dir: 99 | #subprocess.Popen([shlex.quote(default_edge_path), '--remote-debugging-port=9222', f'--user-data-dir={user_data_dir}']) 100 | if playwright_headless: 101 | command = f'"{default_edge_path}" --remote-debugging-port=9222 --user-data-dir="{user_data_dir}" --headless' 102 | else: 103 | command = f'"{default_edge_path}" --remote-debugging-port=9222 --user-data-dir="{user_data_dir}"' 104 | subprocess.Popen(command, shell=True) 105 | print("edge已启动") 106 | else: 107 | command = f'"{default_edge_path}" --remote-debugging-port=9222' 108 | subprocess.Popen(command, shell=True) 109 | else: 110 | if playwright_headless: 111 | command = f'"{default_edge_path}" --remote-debugging-port=9222 --user-data-dir="{user_data_dir}" --inprivate --headless' 112 | else: 113 | command = f'"{default_edge_path}" --remote-debugging-port=9222 --user-data-dir="{user_data_dir}" --inprivate' 114 | subprocess.Popen(command, shell = True) 115 | print("正在拉起不带用户数据的edge") 116 | return default_edge_path 117 | 118 | 119 | def force_select(page, source_lang, target_lang): 120 | print("尝试强制指定源语言\n如果卡在此处可能需要手动点击一下源语言选择") 121 | try: 122 | page.wait_for_selector('span[data-testid="translator-source-lang"]') 123 | page.click('span[data-testid="translator-source-lang"]') 124 | 125 | # 使用 XPath 选择器 126 | lang_xpath = f'//button[@data-testid="translator-lang-option-{source_lang}"]' 127 | page.wait_for_selector(lang_xpath) 128 | page.click(lang_xpath) 129 | 130 | print(f"已强制指定源语言{source_lang}") 131 | except Exception as e: 132 | print(f"设置源语言时发生错误: {e}") 133 | print("尝试强制指定目标语言\n如果卡在此处可能需要手动点击一下目标语言选择") 134 | try: 135 | # 点击目标语言选择区域 136 | page.wait_for_selector('div[data-testid="translator-target-lang"]') 137 | page.click('div[data-testid="translator-target-lang"]') 138 | 139 | # 使用 XPath 选择器 140 | lang_xpath = f'//button[@data-testid="translator-lang-option-{target_lang}"]' 141 | page.wait_for_selector(lang_xpath) 142 | page.click(lang_xpath) 143 | 144 | print(f"已强制指定目标语言{target_lang}") 145 | except Exception as e: 146 | print(f"设置目标语言时发生错误: {e}") 147 | 148 | def translate_text(page, text, source_lang, target_lang, force_lang_select): 149 | global make_edge_happy 150 | # 使用CSS选择器定位输入框元素 151 | input_element = page.query_selector('div[contenteditable="true"][role="textbox"][aria-multiline="true"]') 152 | #print(text) 153 | 154 | if input_element: 155 | input_element.fill('') # 清空输入框 156 | input_element.fill(text) 157 | else: 158 | print("输入框元素未找到") 159 | return None 160 | if force_lang_select: 161 | force_select(page, source_lang, target_lang) 162 | 163 | time.sleep(1) 164 | 165 | # 使用wait_for_selector方法等待翻译结果出现 166 | output_element = page.wait_for_selector('section[aria-labelledby="translation-target-heading"] div[contenteditable="true"][role="textbox"][aria-multiline="true"]') 167 | 168 | if output_element: 169 | original_lines = len([line for line in text.split('\n') if line.strip()]) 170 | retry_count = 0 171 | while True: 172 | time.sleep(2) # 每2秒检查一次 173 | translated_text = output_element.inner_text() 174 | translated_lines = [line for line in translated_text.splitlines() if line.strip()] 175 | #print(f"原译文{translated_text}") 176 | print(f"已翻译{len(translated_lines)}/{original_lines}行") 177 | if len(translated_lines) == original_lines: 178 | if not (translated_lines[-1] == '[...] 'and translated_lines[-2] == '[...] '): 179 | # 创建一个新列表用于合并翻译结果和原始输入的空行 180 | processed_result = [] 181 | translated_index = 0 # 用于跟踪翻译文本的索引 182 | for line in text.split('\n'): 183 | if line.strip() == "": # 如果原始行是空行 184 | processed_result.append("") # 添加一个空行 185 | else: 186 | if translated_index < len(translated_lines): 187 | processed_result.append(translated_lines[translated_index]) # 添加对应的翻译文本 188 | translated_index += 1 189 | 190 | # 将处理后的结果合并成字符串 191 | translated_text = "\n".join(processed_result) + "\n" 192 | return translated_text 193 | retry_count += 1 194 | if retry_count >= 4: 195 | # 检查是否存在字符限制提示 196 | char_limit_element = page.query_selector('div[data-testid="translator-character-limit-proad"]') 197 | if char_limit_element: 198 | print("检测到字符限制，正在拆分输入文本...") 199 | # 拆分文本并分别翻译 200 | part1, part2 = split_text_on_line_boundary(text, len(text) // 2) 201 | translated_part1 = translate_text(page, part1, source_lang, target_lang, force_lang_select) 202 | translated_part2 = translate_text(page, part2, source_lang, target_lang, force_lang_select) 203 | 204 | if translated_part1 is not None and translated_part2 is not None: 205 | # 合并翻译结果 206 | return translated_part1.strip() + "\n" + translated_part2.strip() + "\n" 207 | else: 208 | print("部分翻译失败，无法合并结果") 209 | return None 210 | else: 211 | print("翻译行数不匹配，刷新网页重试") 212 | page.reload() # 刷新网页 213 | retry_count = 0 # 重置重试计数器 214 | 215 | input_element = page.query_selector('div[contenteditable="true"][role="textbox"][aria-multiline="true"]') 216 | if input_element: 217 | input_element.fill('') # 清空输入框 218 | input_element.fill(text) 219 | else: 220 | print("输入框元素未找到") 221 | return None 222 | 223 | output_element = page.wait_for_selector('section[aria-labelledby="translation-target-heading"] div[contenteditable="true"][role="textbox"][aria-multiline="true"]') 224 | if not output_element: 225 | print("翻译结果元素未找到") 226 | return None 227 | else: 228 | print("翻译结果元素未找到") 229 | return None 230 | 231 | def playwright_engine( 232 | source_lang, target_lang, force_lang_select, 233 | browser_login, disable_user_profile, 234 | playwright_headless, playwright_path, input_file_path = 'text_extracted.txt', mode = 'w' 235 | ): 236 | global make_edge_happy 237 | if browser_login or not Path(playwright_path).exists(): 238 | default_edge_path = initialize_edge(disable_user_profile, playwright_headless) 239 | strings_array = process_file(input_file_path) 240 | output_file_path = os.path.join(output_dir, 'translated_result.txt') 241 | 242 | with sync_playwright() as p: 243 | # Launch the browser 244 | print("正在拉起浏览器") 245 | if Path(playwright_path).exists() and not browser_login: 246 | browser = p.webkit.launch(executable_path=playwright_path, headless=playwright_headless) 247 | make_edge_happy = False 248 | page = browser.new_page() 249 | elif default_edge_path.exists(): 250 | print("正在使用edge内核，但该模式可能兼容性有问题") 251 | browser = p.chromium.connect_over_cdp('http://127.0.0.1:9222') # 连接到远程调试端口 252 | context = browser.contexts[0] # 获取已有的上下文 253 | page = context.pages[0] 254 | make_edge_happy = True 255 | else: 256 | raise FileNotFoundError("找不到Playwright内核") 257 | 258 | page.goto(f"https://www.deepl.com/translator#{source_lang}/{target_lang}/") 259 | 260 | with open(output_file_path, mode, encoding='utf-8') as result_file: 261 | for i, s in enumerate(strings_array): 262 | translation = translate_text(page, s, source_lang, target_lang, force_lang_select) 263 | if translation: 264 | print(f"写入翻译结果 {i + 1}, 正在尝试下一个资源段翻译") 265 | result_file.write(translation) 266 | result_file.flush() # 立即写入文件 267 | 268 | browser.close() 269 | -------------------------------------------------------------------------------- /Lib/test.py: -------------------------------------------------------------------------------- 1 | from playwright.sync_api import sync_playwright 2 | import time 3 | 4 | def force_lang_select(target_lang): 5 | with sync_playwright() as p: 6 | browser = p.webkit.launch(executable_path="./webkit/Playwright.exe", headless=False) 7 | page = browser.new_page() 8 | 9 | # 打开 Deepl 翻译器网页 10 | page.goto("https://www.deepl.com/en/translator") 11 | 12 | time.sleep(1) # 等待选择区域展开 13 | # 点击目标语言选择区域 14 | page.wait_for_selector('div[data-testid="translator-target-lang"]') 15 | page.click('div[data-testid="translator-target-lang"]') 16 | print("已点击语言选择区域") 17 | 18 | 19 | # 使用 XPath 选择器 20 | lang_xpath = f'//button[@data-testid="translator-lang-option-{target_lang}"]' 21 | page.wait_for_selector(lang_xpath) 22 | page.click(lang_xpath) 23 | 24 | print(f"已强制指定目标语言{target_lang}") 25 | 26 | 27 | force_lang_select("zh-Hant") 28 | 29 | 30 | -------------------------------------------------------------------------------- /Lib/webkit/PLACE_PLAYWRGHT_WEBKIT_HERE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/Lib/webkit/PLACE_PLAYWRGHT_WEBKIT_HERE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # DeeplxFile 2 | 基于Deeplx/playwright提供的简单易用，快速，免费，不限制文件大小，支持超长文本翻译的文件翻译工具 3 | 4 | [简体中文](https://github.com/infrost/DeeplxFile) 5 | | 6 | [English](/README_translated.md) 7 | 8 | [![Downloads](https://img.shields.io/github/downloads/infrost/deeplxfile/total.svg)](https://github.com/infrost/DeeplxFile/releases) 9 | ------------------ 10 | 点击[这里下载](https://github.com/infrost/DeeplxFile/releases) 11 | 12 | **重要！** 如果使用中遇到疑问或错误，请先查看[置顶的issue](https://github.com/infrost/DeeplxFile/issues) 13 | 14 | ## 功能介绍 15 | ### 这个软件有什么优点？ 16 | 目前复杂文档，尤其是大文档的excel翻译，要么是要钱，要么是效果不好，要么是干脆直接不支持，该软件完美解决以上问题。 17 | 18 | #### 现已支持LLM大模型沉浸式翻译！ 19 | 和常规文档翻译方法不同的是，基于大模型的翻译可以指定翻译风格或者给定特定语境或者背景知识，使得翻译效果更贴切 20 | 21 | 如使用自定义翻译要求：这是一封商务信函，使用庄严体翻译。 22 | 23 | #### 翻译质量 24 | 谷歌翻译,复杂公式引用无法正确显示，而DeeplxFile能正确显示引用公式。 25 | 且使用DeepL作为翻译源，大部分情况下中英互译效果优于谷歌。 26 | ![HighQuality](/images/deeplxfile_quality.png) 27 | 28 | #### 翻译文件支持 29 | 以Excel为例，DeepL免费版不支持Excel翻译，谷歌不支持超过10MB的大文件翻译，DeeplxFile文档翻译无大小限制 30 | ![FileSupport](/images/deeplx_file_support.png) 31 | 32 | #### 简单易用的跨平台 33 | 提供好了编译好的Windows / Mac OS，直接下载就能用。 34 | 你也可以用python的源代码编译其他平台如Linux使用，或者直接在源代码上运行。 35 | 36 | ### 翻译PDF并转换为可编辑的.docx文档 （Windows） 37 | 现已支持该功能，但由于PDF转换功能体积较为庞大，请前往独立下载： 38 | [pdf2docxserver](https://github.com/infrost/pdf2docxserver/releases/) 39 | 40 | **下载后双击运行这个转换服务软件，并保持打开状态。** 41 | 42 | **使用`DeeplxFile`翻译的时候会自动调用转换服务。** 43 | 翻译效果如图： 44 | ![pdf_translation](/images/pdf_translate.png) 45 | 46 | ### Playwright模式（Windows/Mac OS） 47 | ![playwright.gif](/images/playwright.gif) 48 | > 从`v0.5.0`版本开始支持，可在设置选项卡中可开启`Playwright`模式。 49 | > 该模式是不依赖项目`deeplx`的，基于微软爬虫项目`Playwright`的实现。 50 | > releases中的`_Lite`版本不包含该模式所需要的运行文件（webkit浏览器内核）。 51 | 52 | 该模式下，程序会模拟人类打开浏览器，复制粘贴翻译内容，并回传到程序里，优点是兼容性强，可以翻译大量文本（目前没有测试出文本长度限制）并规避`deeplx`项目内核带来的`请求频繁`的错误。 53 | 缺点是会稍微占用一些系统资源，且速度较慢，可以开启`隐藏操作过程`以节约系统资源。 54 | 55 | ### 直连模式 56 | 该模式同样不依赖`deeplx`，但是可用性较低，容易遇到Deepl服务器`请求频繁`的拒绝，轻量的文档翻译可能可用，是最节约资源也是最原生的翻译实现。 57 | 58 | ## 我该如何使用？ 59 | ### Windows 60 | 提供了编译好的exe版本, 运行安装程序即可 61 | 62 | **推荐** 下载`DeeplxFile_setup_windows_Full.exe` 解压安装，该版本带有完整webkit内核，playwright模式稳定性更好。 63 | `Lite`版本不带有webkit内核，会调用系统自带的Edge浏览器，因此体积更小，但目前对edge的支持还在测试阶段，如果你不太需要playwright模式，可以用这个版本。 64 | （你也可以设置里自己指定webkit内核） 65 | 66 | ### MacOS 67 | 68 | **已支持playwright模式，如果需使用请确保系统安装了edge浏览器** 69 | 70 | ![MacOS](/images/MacOS.png) 71 | 72 | 右键解压出来的文件，选择打开新终端， 73 | 终端中输入 74 | ```bash 75 | ./deelxfile 76 | ``` 77 | 78 | ### 从源代码运行 79 | 你也可以下载源代码， 80 | 然后运行 81 | ```bash 82 | python deeplxfile_gui.py 83 | ``` 84 | > 如果你需要使用Playwright模式的翻译功能，为了保持仓库的精简性，请手动下载`playwright-webkit`放在`./Lib/webkit`目录下然后运行，或者在`Lib/playwright_process.py`中指定Playwright的运行目录。 85 | > 如果你不是Windows系统，你需要在`deeplxfile_gui.py`中指定其他版本的deeplx，或者去deeplx官方项目下方，下载一个deeplx运行。 86 | 87 | 88 | ## 版本说明 89 | 90 | ```bash 91 | --------- V0.5.5/V0.5.6-------------- 92 | 支持macOS下的playwright（需要安装edge，要求版本：MacOS 12+） 93 | 程序GUI优化，bug修复 94 | 95 | --------- V0.5.3-------------- 96 | 提供登录选项,在设置中开启后，可以先登录deepl账号再进行翻译，有更大的单词字符翻译上限。 97 | 支持了Playwright下强制指定目标语言，适用于多语言混合文档。 98 | 支持PDF翻译（插件形式，见使用说明）， 99 | 支持了txt,md文档翻译 100 | 为软件增加一个图标，感谢[openvc](https://github.com/infrost/DeeplxFile/issues/3) 101 | 102 | --------- V0.5.2-------------- 103 | 提供了调用系统edge浏览器的playwright方法，更加轻量（完整版的更加稳定） 104 | 105 | ---------- V0.5.0 ------------ 106 | 该版本提供了完整GUI界面，和设置选项，更加简单易用 107 | 增加了Playwright模式（测试中）。 108 | 109 | ---------- V0.2.3 ------------ 110 | 现已完全支持Word，Excel 111 | 112 | powerpoint 支持翻译大部分内容 113 | 114 | 运行项目后会在目录下生成config.json 115 | 设置`save_original`为`true`即可保留原文 116 | ``` 117 | ## Star History 118 | 119 | [![Star History Chart](https://api.star-history.com/svg?repos=infrost/deeplxfile&type=Date)](https://star-history.com/#infrost/deeplxfile&Date) 120 | -------------------------------------------------------------------------------- /README_translated.md: -------------------------------------------------------------------------------- 1 | # DeeplxFile 2 | Easy-to-use, fast, free, unlimited file size, file translation tool based on Deeplx/playwright for very long texts. 3 | 4 | [Simplified Chinese](https://github.com/infrost/DeeplxFile) 5 | | 6 | [English](/README_translated.md) 7 | 8 | **The English Version is translated by DeeplxFile itself!** 9 | 10 | ------------------ 11 | Click [here to download](https://github.com/infrost/DeeplxFile/releases) 12 | 13 | Check out the details at [here](https://blog.infrost.site/2024/08/29/DeeplxFile/) 14 | 15 | ## Features 16 | ### What are the advantages of this software? 17 | At present, the excel translation of complex documents, especially large documents, either costs money, or has bad effect, or simply does not support directly, this software perfectly solves the above problems. 18 | #### translation quality: 19 | Google Translate, complex formula references can not be correctly displayed, while DeeplxFile can correctly display the reference formula. 20 | And using DeepL as the translation source, in most cases, the effect of Chinese and English translation is better than Google. 21 | ![HighQuality](/images/deeplxfile_quality.png) 22 | 23 | #### Translation File Support 24 | Take Excel as an example, DeepL free version doesn't support Excel translation, Google doesn't support translation of large files over 10MB, DeeplxFile document translation has no size limitation! 25 | ![FileSupport](/images/deeplx_file_support.png) 26 | 27 | ### Translate PDF and convert to editable .docx documents 28 | This feature is now supported, but due to the large size of the PDF conversion feature, please go to the standalone download: 29 | [pdf2docxserver](https://github.com/infrost/pdf2docxserver/releases/) 30 | 31 | **Double-click to run this conversion service software after download and keep it open.** 32 | 33 | **The conversion service will be called automatically when you use `DeeplxFile` to translate.** 34 | The translation effect is as shown in the picture: 35 | ![pdf_translation](/images/pdf_translate.png) 36 | 37 | ### Playwright mode (Windows) 38 | ![playwright.gif](/images/playwright.gif) 39 | > Supported since `v0.5.0`, `Playwright` mode can be enabled in the Settings tab. 40 | > This mode is independent of the project `deeplx` and is based on the implementation of the Microsoft crawler project `Playwright`. 41 | > The `_Lite` version in releases does not include the runtime files (webkit browser kernel) needed for this mode. 42 | 43 | In this mode, the program simulates a human opening a browser, copying and pasting the translated content and sending it back to the program. The advantages are compatibility, the ability to translate large amounts of text (no text length limit has been tested so far) and circumventing the `request-heavy` bug introduced by the `deeplx` project kernel. 44 | The disadvantage is that it will take up some system resources and is slow, you can turn on `hidden operation process` to save system resources. 45 | 46 | ### Direct connection mode 47 | This mode also doesn't rely on `deeplx`, but has lower availability, and is prone to encountering `requests` rejections from the Deepl server. It may be used for lightweight document translation, and is the most resource-efficient and native translation implementation. 48 | 49 | ### How do I use it? 50 | ### Windows 51 | A compiled exe version is provided, just run the installer. 52 | 53 | **Recommended** Download `DeeplxFile_setup_windows_Full.exe` and unpack it, this version comes with a full webkit kernel and is more stable in playwright mode. 54 | The `Lite` version doesn't come with webkit kernel, it will call the system's own Edge browser, so it's smaller in size, but the support for edge is still in the testing stage, so if you don't need playwright mode too much, you can use this version. 55 | (You can also specify your own webkit kernel in the settings) 56 | 57 | ### MacOS 58 | 59 | **Playwright mode will be supported soon 60 | 61 | Right-click on the extracted folder and select Open New Terminal in Folder. 62 | In the terminal, type 63 | ```bash 64 | . /deelxfile 65 | `` 66 | 67 | ### Run from source 68 | You can also download the source code 69 | and run it. 70 | ```bash 71 | python deeplxfile_gui.py 72 | ``` 73 | > If you need to use the Playwright mode translation feature, to keep the repository lean, manually download `playwright-webkit` in the `. /Lib/webkit` directory and run it, or specify the Playwright runtime directory in `Lib/playwright_process.py`. 74 | > If you're not on Windows, you'll need to specify another version of deeplx in `deeplxfile_gui.py`, or go to the bottom of the official deeplx project and download a deeplx to run. 75 | 76 | 77 | ## Versioning 78 | 79 | ```bash 80 | --------- V0.5.3-------------- 81 | Provide login option, when you turn it on in settings, you can login to deepl account first and then translate, with larger word character translation limit. 82 | Supports forced target language specification under Playwright, applicable to multi-language mixed documents. 83 | Support PDF translation (in the form of plug-in, see the instructions). 84 | Supported txt,md document translation. 85 | add an icon for the software, thanks to [openvc](https://github.com/infrost/DeeplxFile/issues/3) 86 | 87 | --------- V0.5.2-------------- 88 | Provide playwright method to call system edge browser, more lightweight (the full version is more stable) 89 | 90 | ---------- V0.5.0 ------------ 91 | This version provides the full GUI interface, and setting options, more easy to use 92 | Added Playwright mode (in testing). 93 | 94 | ---------- V0.2.3 ------------ 95 | Word, Excel are now fully supported 96 | 97 | powerpoint Support translate most of the content 98 | 99 | After running the project, config.json will be generated in the directory. 100 | Set `save_original` to `true` to preserve the original text. 101 | `` 102 | -------------------------------------------------------------------------------- /config.json: -------------------------------------------------------------------------------- 1 | { 2 | "save_original": false, 3 | "version": "0.5.11", 4 | "dev": false, 5 | "i18n": "ZH", 6 | "playwright_headless": false, 7 | "playwright_path": "./Lib/Webkit/Playwright.exe", 8 | "browser_login": false, 9 | "force_lang_select": false, 10 | "translation_mode": "deeplx", 11 | "disable_user_profile": false, 12 | "enhance_mode": false, 13 | "deepl_token": "", 14 | "deeplx_core_version": "1.0.4", 15 | "deeplx_server": "", 16 | "llm_api_base": "https://api.openai.com/v1", 17 | "llm_api_key": "", 18 | "llm_model": "gpt-4o", 19 | "llm_prompt": "", 20 | "llm_max_token": "4096" 21 | } -------------------------------------------------------------------------------- /deeplxfile_gui.py: -------------------------------------------------------------------------------- 1 | import subprocess 2 | import os 3 | import time 4 | import requests 5 | import json 6 | import sys 7 | from concurrent.futures import ThreadPoolExecutor 8 | from tkinter import Tk, Text, Entry, StringVar, BooleanVar, Label, OptionMenu, Button, Checkbutton, Frame, messagebox, DISABLED, NORMAL, Radiobutton 9 | from tkinter.ttk import Notebook, Separator, Style 10 | from Lib import compose, data_process, extract, direct_mode, playwright_process, continue_trans, llm_translate 11 | from Lib.output import start_redirect, send_warning, success_message 12 | from Lib.config import config, save_config 13 | 14 | def run_deeplx(output_text_box): 15 | global processes 16 | exe_path = os.path.join("Lib", 17 | "deeplx_windows_amd64" if os.name == 'nt' 18 | else "deeplx_darwin_amd64" if os.name == 'posix' 19 | else "deeplx_linux_amd64") 20 | try: 21 | process_args = [exe_path] 22 | if os.name == 'nt': 23 | process = subprocess.Popen( 24 | process_args, 25 | stdout=subprocess.PIPE, 26 | stderr=subprocess.PIPE, 27 | text=True, 28 | creationflags=subprocess.CREATE_NO_WINDOW # Windows特有的创建参数 29 | ) 30 | else: 31 | # 非Windows系统 32 | process = subprocess.Popen( 33 | process_args, 34 | stdout=subprocess.PIPE, 35 | stderr=subprocess.PIPE, 36 | text=True 37 | ) 38 | processes.append(process) 39 | for line in process.stdout: 40 | print(line.strip()) # 使用 print 输出内容，这会被重定向到文本框 41 | # 等待进程完成 42 | process.wait() 43 | # 检查返回码 44 | if process.returncode != 0: 45 | print(f"Process finished with return code: {process.returncode}") 46 | 47 | except FileNotFoundError: 48 | print(f"The file {exe_path} was not found.") 49 | except Exception as e: 50 | print(f"An error occurred: {e}") 51 | 52 | def send_process_job(source_lang, target_lang, output_text_box): 53 | if config.get("translation_mode") == "direct": 54 | direct_mode.process_file('./tmp/text_extracted.txt', source_lang, target_lang) 55 | elif config.get("translation_mode") == "playwright": 56 | playwright_process.playwright_engine( 57 | source_lang, target_lang, config.get("force_lang_select", False), 58 | config.get("browser_login", False), config.get("disable_user_profile", False), 59 | config.get("playwright_headless", False), config.get("playwright_path", "./Lib/Webkit/Playwright.exe"), './tmp/text_extracted.txt' 60 | ) 61 | elif config.get("translation_mode") == "llm": 62 | print("正在请求大模型翻译") 63 | llm_translate.llm_process('./tmp/text_extracted.txt', source_lang, target_lang, config.get("llm_api_base", "https://api.openai.com/v1"), config.get("llm_api_key", ""), config.get("llm_model", "gpt-4-turbo"), config.get("llm_max_token", 4096), config.get("llm_prompt", ""), mode = 'w', retries = 3, delay = 5) 64 | else: 65 | data_process.process_file('./tmp/text_extracted.txt', source_lang, target_lang, config.get("deepl_token", "")) 66 | 67 | success_message(output_text_box,f"完成翻译,正在根据原文件回写：{extract.input_path}") 68 | compose.compose_file(extract.file_type, extract.input_path, config.get("enhance_mode", False)) 69 | success_message(output_text_box, "翻译完成！已在输入的相同目录下生成文件") 70 | 71 | 72 | 73 | def process_translation(): 74 | global processes 75 | if config.get("translation_mode") == "direct": 76 | send_warning(output_text_box,"\n【直连模式】\n当前使用直连模式请求deepl的翻译返回，不使用deeplx引擎，如果频繁请求可能会遇到错误\n该模式只能翻译较小的文件，大文件请使用deeplx引擎") 77 | elif config.get("translation_mode") == "playwright": 78 | print("\n启用playwright模式（测试模式）") 79 | if config.get("browser_login", False): 80 | messagebox.showinfo("警告","使用edge调用playwright会结束现有edge的所有进程\n请在执行前保存好数据！否则请取消文件导入") 81 | if config.get("force_lang_select", False): 82 | send_warning(output_text_box, "强制选择语言有时候脚本会选不上卡住，请留意提示，手动点击一下即可") 83 | elif config.get("translation_mode") == "llm": 84 | print("\n启用大模型模式（测试模式）") 85 | if config.get("llm_prompt") and config.get("llm_prompt") is not None: 86 | send_warning(output_text_box, f"自定义翻译要求:{config.get('llm_prompt')}") 87 | else: 88 | try: 89 | if processes: 90 | print("deeplx引擎已在运行") 91 | else: 92 | if config.get("deeplx_server",False): 93 | print("使用自定的deeplx引擎") 94 | else: 95 | print("正在启动deeplx引擎") 96 | deeplx_future = executor.submit(run_deeplx, output_text_box) 97 | except Exception as e: 98 | print(f"Deeplx引擎异常，尝试使用直连模式 {e}") 99 | config['translation_mode'] = "direct" 100 | save_config(config) 101 | print("已将direct_mode设置为True") 102 | source_lang_name = source_lang_var.get() 103 | target_lang_name = target_lang_var.get() 104 | 105 | # 遍历 languages 列表，找到对应的语言代码 106 | source_lang = next(lang[1] for lang in languages if lang[0] == source_lang_name) 107 | target_lang = next(lang[1] for lang in languages if lang[0] == target_lang_name) 108 | 109 | if source_lang == "zh-Hans" or "zh-Hant": 110 | source_lang = "zh" 111 | elif source_lang == "en-US" or "en-GB": 112 | source_lang = "en" 113 | print("源语言代码:", source_lang) 114 | print("目标语言代码:", target_lang) 115 | print("等待选择文件...") 116 | 117 | # 解压 118 | extract.extract_file(config.get("enhance_mode", False)) 119 | if extract.process_cancelled: 120 | send_warning(output_text_box, "文件导入取消") 121 | extract.process_cancelled = False 122 | return 123 | success_message(output_text_box, "文档解析已完成") 124 | process_job = executor.submit(send_process_job, source_lang, target_lang, output_text_box) 125 | 126 | def recover_mode(): 127 | messagebox.showinfo("提示", "请选择上次需要翻译的原始文档") 128 | extract.extract_file(config.get("enhance_mode", False)) 129 | if extract.process_cancelled: 130 | send_warning(output_text_box, "文件导入取消") 131 | extract.process_cancelled = False 132 | return 133 | success_message(output_text_box, "文档解析已完成") 134 | compose.compose_file(extract.file_type, extract.input_path, config.get("enhance_mode", False)) 135 | success_message(output_text_box, "已尝试将已翻译内容恢复至输入目录同名_translated文件") 136 | messagebox.showinfo("成功", "文档已恢复至输入目录同名_translated文件") 137 | 138 | def continue_translation(): 139 | source_lang_name = source_lang_var.get() 140 | target_lang_name = target_lang_var.get() 141 | source_lang = next(lang[1] for lang in languages if lang[0] == source_lang_name) 142 | target_lang = next(lang[1] for lang in languages if lang[0] == target_lang_name) 143 | if source_lang == "zh-Hans" or "zh-Hant": 144 | source_lang = "zh" 145 | elif source_lang == "en-US" or "en-GB": 146 | source_lang = "en" 147 | print("源语言代码:", source_lang) 148 | print("目标语言代码:", target_lang) 149 | messagebox.showinfo("提示", "请选择上次需要翻译的原始文档") 150 | extract.extract_file(config.get("enhance_mode", False)) 151 | if extract.process_cancelled: 152 | send_warning(output_text_box, "文件导入取消") 153 | extract.process_cancelled = False 154 | return 155 | success_message(output_text_box, "文档解析已完成") 156 | print("读取上次翻译进度") 157 | continue_trans.move_lines() 158 | process_job = executor.submit(send_continue_job, source_lang, target_lang, output_text_box) 159 | messagebox.showinfo("提示", "翻译任务已提交，请留意`翻译`页控制台提示") 160 | 161 | def send_continue_job(source_lang, target_lang, output_text_box): 162 | send_warning(output_text_box, "以继续模式翻译时，请确保与上次翻译的文档是相同的") 163 | global processes 164 | if config.get("translation_mode") == "direct": 165 | direct_mode.process_file('./tmp/text_extracted.txt', source_lang, target_lang) 166 | elif config.get("translation_mode") == "playwright": 167 | if config.get("browser_login", False): 168 | messagebox.showinfo("警告","使用edge调用playwright会结束现有edge的所有进程\n请在执行前保存好数据！否则请取消文件导入") 169 | if config.get("force_lang_select", False): 170 | send_warning(output_text_box, "强制选择语言有时候脚本会选不上卡住，请留意提示，手动点击一下即可") 171 | print("starting playwright engine...") 172 | playwright_process.playwright_engine( 173 | source_lang, target_lang, config.get("force_lang_select", False), 174 | config.get("browser_login", False), config.get("disable_user_profile", False), 175 | config.get("playwright_headless", False), config.get("playwright_path", "./Lib/Webkit/Playwright.exe"), 176 | './tmp/text_extracted.txt', mode = 'a' 177 | ) 178 | else: 179 | try: 180 | if processes: 181 | print("deeplx引擎已在运行") 182 | else: 183 | if config.get("deeplx_server",False): 184 | print("使用自定的deeplx引擎") 185 | else: 186 | print("正在启动deeplx引擎") 187 | deeplx_future = executor.submit(run_deeplx, output_text_box) 188 | except Exception as e: 189 | print(f"Deeplx引擎异常，尝试使用直连模式 {e}") 190 | config['translation_mode'] = "direct" 191 | save_config(config) 192 | print("已将direct_mode设置为True") 193 | data_process.process_file('./tmp/text_extracted.txt', source_lang, target_lang, config.get("deepl_token", "")) 194 | success_message(output_text_box,f"完成翻译,正在根据原文件回写：{extract.input_path}") 195 | #continue_trans.prepend_to_translated_result() 196 | compose.compose_file(extract.file_type, extract.input_path, config.get("enhance_mode", False)) 197 | success_message(output_text_box, "翻译完成！已在输入的相同目录下生成文件") 198 | 199 | 200 | def check_update(): 201 | current_ver = config.get("version") 202 | version_url = "https://raw.githubusercontent.com/infrost/DeeplxFile/master/config.json" 203 | try: 204 | response = requests.get(version_url) 205 | response.raise_for_status() # 检查请求是否成功 206 | 207 | data = response.json() 208 | online_ver = data.get("version") 209 | 210 | return online_ver if online_ver else None 211 | except requests.exceptions.RequestException as e: 212 | return f"网络错误: {e}" 213 | except ValueError as e: 214 | return f"数据错误: {e}" 215 | 216 | 217 | def start_check(): 218 | update_button.config(state=DISABLED, text = "正在检查更新...") 219 | update_feature = executor.submit(check_update) 220 | result = update_feature.result() 221 | if result is None: 222 | messagebox.showinfo("错误", "未找到可更新版本信息") 223 | elif "错误" in result: 224 | messagebox.showinfo("错误", result) 225 | else: 226 | current_ver = config.get("version") 227 | if result != current_ver: 228 | messagebox.showinfo("更新提示", 229 | f"当前版本V: {current_ver}, 有新版本可用: V{result}\n请前往下载https://github.com/infrost/DeeplxFile/releases/") 230 | else: 231 | messagebox.showinfo("更新提示", f"已是最新版本: V{current_ver}") 232 | 233 | update_button.config(state=NORMAL, text = "检查更新") 234 | 235 | def save_and_exit(): 236 | global warn_label 237 | global playwright_label 238 | #config['direct_mode'] = direct_mode_var.get() 239 | #config['playwright_mode'] = playwright_mode_var.get() 240 | config['browser_login'] = browser_login_var.get() 241 | config['save_original'] = save_original_var.get() 242 | config['playwright_headless'] = playwright_headless_var.get() 243 | config['playwright_path'] = playwright_path_var.get() 244 | config['force_lang_select'] = force_lang_select_var.get() 245 | config['disable_user_profile'] = disable_user_profile_var.get() 246 | config['translation_mode'] = translation_mode_var.get() 247 | config['enhance_mode'] = enhance_mode_var.get() 248 | config['deepl_token'] = deepl_token_var.get() 249 | config['deeplx_server'] = deeplx_server_var.get() 250 | config['llm_api_base'] = llm_api_base_var.get() 251 | config['llm_api_key'] = llm_api_key_var.get() 252 | config['llm_model'] = llm_model_var.get() 253 | config['llm_max_token'] = llm_max_token_var.get() 254 | config['llm_prompt'] = llm_prompt_var.get() 255 | save_config(config) 256 | if config.get("translation_mode") == "playwright": 257 | if "playwright_label" in globals() and playwright_label is not None: 258 | playwright_label.destroy() # 移除旧的Label 259 | playwright_label = None 260 | elif not "playwright_label" in globals() or playwright_label is None: 261 | playwright_label = Label(settings_frame, text="若要使用本页设置中的功能，请在翻译设置中选择`playwright模式`", fg="red") 262 | playwright_label.pack(pady=10) 263 | 264 | 265 | if config.get("translation_mode") == "llm": 266 | if "warn_label" in globals() and warn_label is not None: 267 | warn_label.destroy() # 移除旧的Label 268 | warn_label = None 269 | elif not "warn_label" in globals() or warn_label is None: 270 | warn_label = Label(llm_frame, text="若要使用本页设置中的功能，请在翻译设置中选择`大模型`", fg="red") 271 | warn_label.pack(pady=10) 272 | 273 | messagebox.showinfo("成功","设置已保存") 274 | 275 | 276 | def on_close(): 277 | global processes 278 | for process in processes: 279 | if process: 280 | process.terminate() 281 | processes.clear() 282 | executor.shutdown(wait=False) 283 | root.destroy() # 关闭窗口 284 | os._exit(0) 285 | 286 | #这里是进程管理 287 | processes = [] 288 | executor = ThreadPoolExecutor(max_workers=5) 289 | 290 | 291 | """ 292 | 293 | 这里开始为GUI窗口绘制 294 | 295 | """ 296 | #GUI 297 | root = Tk() 298 | root.title("DeeplxFile 翻译工具") 299 | if os.name == 'nt': 300 | icon_path = "./Lib/deeplxfile.ico" 301 | root.geometry("500x520") 302 | else: 303 | icon_path = "./Lib/deeplxfile.icns" 304 | root.geometry("570x550") 305 | root.iconbitmap(icon_path) 306 | #i18n.change_locale('en') 307 | default_font = ("Microsoft YaHei", 10) # 设定字体为Arial，大小为12 308 | root.option_add("*Font", default_font) 309 | 310 | notebook = Notebook(root) 311 | 312 | 313 | """ 314 | 315 | 翻译选项卡 316 | 317 | """ 318 | translate_frame = Frame(notebook) 319 | notebook.add(translate_frame, text="翻译") 320 | style = Style() 321 | style.configure("TNotebook.Tab", font=("Microsoft YaHei", 12)) # 设置 notebook 选项卡字体大小 322 | 323 | languages = [ 324 | ("中文(简体)", "zh-Hans"), 325 | ("中文(繁体)","zh-Hant"), 326 | ("英文(美国)", "en-US"), 327 | ("英文(英国)", "en-GB"), 328 | ("日文", "ja"), 329 | ("韩文", "ko"), 330 | ("法文", "fr"), 331 | ("德文", "de"), 332 | ("俄文", "ru"), 333 | ("西班牙文", "es"), 334 | ("意大利文", "it"), 335 | ("葡萄牙文", "pt"), 336 | ] 337 | 338 | source_lang_var = StringVar(translate_frame) 339 | target_lang_var = StringVar(translate_frame) 340 | source_lang_var.set(languages[0][0]) 341 | target_lang_var.set(languages[1][0]) 342 | 343 | source_label = Label(translate_frame, text="选择源语言:") 344 | source_label.pack(pady=(10, 5)) 345 | 346 | source_menu = OptionMenu(translate_frame, source_lang_var, *[lang[0] for lang in languages]) 347 | source_menu.pack(pady=10) 348 | 349 | target_label = Label(translate_frame, text="选择目标语言:") 350 | target_label.pack(pady=(10, 5)) 351 | 352 | target_menu = OptionMenu(translate_frame, target_lang_var, *[lang[0] for lang in languages]) 353 | target_menu.pack() 354 | 355 | #Separator(translate_frame, orient='horizontal').pack(fill='x', pady=10) 356 | 357 | start_button = Button(translate_frame, text="选择文件", command=process_translation) 358 | start_button.pack(pady=20) 359 | 360 | 361 | # 创建输出内容流 362 | output_text_box = Text(translate_frame, wrap='word', font=("Microsoft YaHei", 10)) 363 | output_text_box.pack(expand=True, fill='both') 364 | output_text_box.tag_configure("default", foreground="gray") 365 | output_text_box.tag_configure("error", foreground="red") 366 | output_text_box.tag_configure("warning", foreground="orange") 367 | output_text_box.tag_configure("success", foreground="green") 368 | io_futrue = executor.submit(start_redirect, output_text_box) 369 | 370 | 371 | """ 372 | 373 | 翻译设置 374 | 375 | """ 376 | 377 | trans_config_frame = Frame(notebook) 378 | notebook.add(trans_config_frame, text="翻译设置") 379 | 380 | radio_frame = Frame(trans_config_frame, bd=2, relief="groove") 381 | radio_frame.pack(pady=10, padx=10, fill="x") 382 | mode_config_label = Label(radio_frame, text="翻译模式") 383 | mode_config_label.pack() 384 | translation_mode_var = StringVar(radio_frame) 385 | translation_mode_var.set(config.get("translation_mode", "")) 386 | Radiobutton(radio_frame, text="直连模式", variable=translation_mode_var, value="direct").pack(anchor='w') 387 | Radiobutton(radio_frame, text="大模型 (测试阶段，支持翻译要求)", variable=translation_mode_var, value="llm").pack(anchor='w') 388 | Radiobutton(radio_frame, text="Playwright (兼容性好，默认)", variable=translation_mode_var, value="playwright").pack(anchor='w') 389 | Radiobutton(radio_frame, text="Deeplx (速度快，小文件可用)", variable=translation_mode_var, value="deeplx").pack(anchor='w') 390 | deepl_token_var = StringVar(radio_frame) 391 | deepl_token_var.set(config.get("deepl_token", "")) 392 | deepl_token_var_label = Label(radio_frame, text="Deepl Pro 密钥: (留空采用免费方法)") 393 | deepl_token_var_label.pack(anchor='w', padx=25) 394 | deepl_token_var_entry = Entry(radio_frame, textvariable=deepl_token_var, width=30) 395 | deepl_token_var_entry.pack(anchor='w', padx=25, pady=5) 396 | 397 | deeplx_server_var = StringVar(radio_frame) 398 | deeplx_server_var.set(config.get("deeplx_server", "")) 399 | deeplx_server_var_label = Label(radio_frame, text="Deeplx服务器地址: (e.g.127.0.0.1:1188, 留空使用自带的)") 400 | deeplx_server_var_label.pack(anchor='w', padx=25) 401 | deeplx_server_var_entry = Entry(radio_frame, textvariable=deeplx_server_var, width=30) 402 | deeplx_server_var_entry.pack(anchor='w', padx=25, pady=5) 403 | 404 | 405 | doc_config_frame = Frame(trans_config_frame, bd=2, relief="groove") 406 | doc_config_frame.pack(pady=10, padx=10, fill="x") 407 | doc_config_label = Label(doc_config_frame, text="文档处理") 408 | doc_config_label.pack() 409 | 410 | save_original_var = BooleanVar(doc_config_frame) 411 | save_original_var.set(config.get("save_original", False)) 412 | save_original_checkbox = Checkbutton(doc_config_frame, text="保留原文", variable = save_original_var) 413 | save_original_checkbox.pack(anchor='w') 414 | 415 | enhance_mode_var = BooleanVar(doc_config_frame) 416 | enhance_mode_var.set(config.get("enhance_mode", False)) 417 | enhance_mode_checkbox = Checkbutton(doc_config_frame, text="增强模式(beta)", variable = enhance_mode_var) 418 | enhance_mode_checkbox.pack(anchor='w') 419 | enhance_mode_label = Label(doc_config_frame, text="增强模式会尝试翻译文档中SmartArt，Excel中工作表Sheet的表名等内容") 420 | enhance_mode_label.pack(anchor='w', padx = 15) 421 | 422 | save_button = Button(trans_config_frame, text="保存设置", command=save_and_exit) 423 | save_button.pack(pady=(0, 10)) 424 | 425 | 426 | """ 427 | 428 | Playwright设置 429 | 430 | """ 431 | 432 | settings_frame = Frame(notebook) 433 | notebook.add(settings_frame, text="playwright设置") 434 | 435 | # Playwright模式 436 | comment_label = Label(settings_frame, text="Playwright模式会模拟人类操作翻译\n会较为消耗性能，但是兼容性较强\n如果出现请求频繁错误，可以尝试该模式\n\n若使用Edge，可以提前在edge浏览器中登录账号\n 调用edge的登录状态能让单次翻译的字符更多，更稳定。") 437 | comment_label.pack(pady=10) 438 | 439 | playwright_frame = Frame(settings_frame, borderwidth=2, relief="groove", pady=10) 440 | playwright_frame.pack(padx=5, pady=5, anchor='w') # 内边距 441 | left_frame = Frame(playwright_frame) 442 | left_frame.pack(side='left', padx=10) 443 | 444 | browser_login_var = BooleanVar(playwright_frame) 445 | browser_login_var.set(config.get("browser_login", False)) 446 | browser_login_checkbox = Checkbutton(left_frame, text="使用系统edge浏览器", variable=browser_login_var) 447 | browser_login_checkbox.pack(anchor='w') 448 | #comment_label3 = Label(left_frame, text="可以提前在edge浏览器中登录账号\n 调用edge的登录状态能让\n单次翻译的字符更多，更稳定。") 449 | #comment_label3.pack(anchor='w') 450 | 451 | disable_user_profile_var = BooleanVar(playwright_frame) 452 | disable_user_profile_checkbox = Checkbutton(left_frame, text="edge浏览器不使用用户数据", variable=disable_user_profile_var) 453 | disable_user_profile_checkbox.pack(anchor='w') 454 | 455 | playwright_headless_var = BooleanVar(playwright_frame) 456 | playwright_headless_var.set(config.get("playwright_headless", False)) 457 | playwright_headless_checkbox = Checkbutton(left_frame, text="隐藏操作过程", variable=playwright_headless_var) 458 | playwright_headless_checkbox.pack(anchor='w') 459 | comment_label2 = Label(left_frame, text="可以节约系统资源, 加快翻译速度") 460 | comment_label2.pack(anchor='w', padx=5, pady=2) 461 | 462 | right_frame = Frame(playwright_frame) 463 | right_frame.pack(side='left', padx=10) 464 | 465 | force_lang_select_var = BooleanVar(playwright_frame) 466 | force_lang_select_var.set(config.get("force_lang_select", False)) 467 | force_lang_select_checkbox = Checkbutton(right_frame, text="强制指定语言", variable=force_lang_select_var) 468 | force_lang_select_checkbox.pack(anchor='w') 469 | comment_label4 = Label(right_frame, text="少数情况无法正确翻译到指定语言时\n可以尝试开启，略微影响速度") 470 | comment_label4.pack(anchor='w') 471 | 472 | playwright_path_var = StringVar(playwright_frame) 473 | playwright_path_var.set(config.get("playwright_path", "")) 474 | playwright_path_label = Label(right_frame, text="Playwright Webkit 内核路径:") 475 | playwright_path_label.pack(anchor='w') 476 | playwright_path_entry = Entry(right_frame, textvariable=playwright_path_var, width=30) 477 | playwright_path_entry.pack(anchor='w', padx=5) 478 | 479 | #Separator(settings_frame, orient='horizontal').pack(fill='x', pady=20) 480 | 481 | 482 | save_button = Button(settings_frame, text="保存设置", command=save_and_exit) 483 | save_button.pack(pady=(0, 10)) 484 | 485 | if config.get("translation_mode") != "playwright": 486 | playwright_label = Label(settings_frame, text="若要使用本页设置中的功能，请在翻译设置中选择`playwright模式`", fg="red") 487 | playwright_label.pack(pady=10) 488 | 489 | 490 | """ 491 | 492 | 大模型翻译 493 | 494 | """ 495 | 496 | llm_frame = Frame(notebook) 497 | notebook.add(llm_frame, text="大模型翻译(测试)") 498 | 499 | llm_api_base_var = StringVar(llm_frame) 500 | llm_api_base_var.set(config.get("llm_api_base", "")) 501 | llm_api_base_var_label = Label(llm_frame, text="\n大模型API地址:") 502 | llm_api_base_var_label.pack(anchor='w') 503 | llm_api_base_var_entry = Entry(llm_frame, textvariable=llm_api_base_var, width=35) 504 | llm_api_base_var_entry.pack(anchor='w', padx=5) 505 | 506 | llm_api_key_var = StringVar(llm_frame) 507 | llm_api_key_var.set(config.get("llm_api_key", "")) 508 | llm_api_key_var_label = Label(llm_frame, text="\n大模型API密钥:") 509 | llm_api_key_var_label.pack(anchor='w') 510 | llm_api_key_var_entry = Entry(llm_frame, textvariable=llm_api_key_var, width=35) 511 | llm_api_key_var_entry.pack(anchor='w', padx=5) 512 | 513 | llm_model_var = StringVar(llm_frame) 514 | llm_model_var.set(config.get("llm_model", "")) 515 | llm_model_var_label = Label(llm_frame, text="\n大模型名称:") 516 | llm_model_var_label.pack(anchor='w') 517 | llm_model_var_entry = Entry(llm_frame, textvariable=llm_model_var, width=35) 518 | llm_model_var_entry.pack(anchor='w', padx=5) 519 | 520 | llm_max_token_var = StringVar(llm_frame) 521 | llm_max_token_var.set(config.get("llm_max_token", "")) 522 | llm_max_token_var_label = Label(llm_frame, text="\n单次翻译长度限制（4096大约消耗1500token）:") 523 | llm_max_token_var_label.pack(anchor='w') 524 | llm_max_token_var_entry = Entry(llm_frame, textvariable=llm_max_token_var, width=35) 525 | llm_max_token_var_entry.pack(anchor='w', padx=5) 526 | 527 | llm_prompt_var = StringVar(llm_frame) 528 | llm_prompt_var.set(config.get("llm_prompt", "")) 529 | llm_prompt_var_label = Label(llm_frame, text="自定义翻译要求\n(如：“这是一封商务信函，请使用庄严体翻译”等，可留空):") 530 | llm_prompt_var_label.pack(anchor='w') 531 | llm_prompt_var_entry = Entry(llm_frame, textvariable=llm_prompt_var, width=50) 532 | llm_prompt_var_entry.pack(anchor='w', padx=5) 533 | 534 | save_button = Button(llm_frame, text="保存设置", command=save_and_exit) 535 | save_button.pack(pady=(0, 10)) 536 | 537 | info_label = Label(llm_frame, text="大模型翻译是测试功能，可能会有不稳定的情况\n目前只支持openai/openai like的API\n大模型速度取决于所选模型，请耐心等待", fg="blue") 538 | info_label.pack(pady=10) 539 | 540 | if config.get("translation_mode") != "llm": 541 | warn_label = Label(llm_frame, text="若要使用本页设置中的功能，请在翻译设置中选择`大模型`", fg="red") 542 | warn_label.pack(pady=10) 543 | 544 | """ 545 | 546 | About 547 | 548 | """ 549 | 550 | about_frame = Frame(notebook) 551 | notebook.add(about_frame, text="其他") 552 | 553 | 554 | recovery_button = Button(about_frame, text="文档恢复", command=recover_mode) 555 | recovery_button.pack(padx=10, pady =10) 556 | recover_mode_label = Label(about_frame, text="若上一次翻译因错误或意外退出，可尝试保存上一次已翻译的部分") 557 | recover_mode_label.pack(pady=5) 558 | continue_button = Button(about_frame, text="继续翻译", command=continue_translation) 559 | continue_button.pack( padx=10) 560 | continue_mode_label = Label(about_frame, text="或者继续进行翻译") 561 | continue_mode_label.pack(pady=5) 562 | 563 | 564 | 565 | Separator(about_frame, orient='horizontal').pack(fill='x', pady=30) 566 | 567 | about_label = Label(about_frame, text= f"软件版本\nDeeplxFile by Kevin V{config.get("version")}") 568 | about_label.pack(pady=10) 569 | core_label = Label(about_frame, text= f"内核版本\nDeeplx Core V{config.get("deeplx_core_version")}") 570 | core_label.pack(pady=10) 571 | 572 | email = Label(about_frame, text= f"i@infrost.site") 573 | email.pack(pady=10) 574 | 575 | update_button = Button(about_frame, text="检查更新", command=start_check) 576 | update_button.pack() 577 | 578 | 579 | #End of GUI 580 | notebook.pack(padx=10, pady=10, expand=True, fill="both") 581 | root.protocol("WM_DELETE_WINDOW", on_close) 582 | root.mainloop() 583 | -------------------------------------------------------------------------------- /images/MacOS.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/images/MacOS.png -------------------------------------------------------------------------------- /images/deeplx_file_support.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/infrost/DeeplxFile/7273cad60befc92641a053cf4e71901d6d9688dd/images/deeplx_file_support.png -------------------------------------------------------------------------------- /images/deeplxfile_quality.png: 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