This is a simple tool that uses ChatGPT to translate text into a specified target language in a faithful way to the original. The tool takes a text file (.txt, .md, .pdf, .html and .rtf) or a folder of text files as input, and outputs a translated text file or a bilingual text file with the original and translated text side by side. This tool automatically sets multi-threading (to speed up your translation process) by default, considers the frequency limit set by ChatGPT for users, and can be set to translate personal names or not (default is to translate).
使用ChatGPT将文本以忠于原文的方式翻译成指定的目标语言。该工具接受一个文本文件（.txt, .md, .pdf, .html或.rtf）或者一个包含文本的文件夹，并生成一个直接翻译后的文本或一个双语的(并列显示原始文本和翻译文本)文本。这个工具默认自动设置了多线程(加速你的翻译过程)、自动考虑了ChatGPT给用户设置的频率限制、可以设置是否翻译人名(默认为翻译)。
Use this on Google Colab (recommended). See here
Google Colab上使用这个工具(推荐)，见这里
Note: Use absolute paths instead of relative paths to process PDFs.
注意：处理 PDF 的时候使用绝对路径而不是相对路径。
git clone https://github.com/Raychanan/ChatGPT-for-Translation.git
cd ./ChatGPT-for-Translation/
pip install -r requirements.txt --quiet
python ChatGPT-translate.py --input_path=input.txt --openai_key=password
This command will translate the text in input.txt into simplified Chinese using ChatGPT. You can also specify any language you want. For example, --target_language="Japanese". See this txt as an example.
这个命令将使用ChatGPT把input.txt中的文本翻译成简体中文。你也可以指定任何你想要的语言。例如，--target_language="Japanese"。翻译后的txt文件例子见这里
python ChatGPT-translate.py --input_path=./folder/ --openai_key=password
python ChatGPT-translate.py --bilingual --input_path=input.txt --openai_key=password
This command will translate the text in input.txt into Simplified Chinese using ChatGPT, using 20 threads (10 by default) for translation. The output will be a bilingual text file (both txt and Word files will be generated) with the original and translated text side by side. See this txt as an example.
这个命令将使用ChatGPT把input.txt中的文本翻译成简体中文，使用20个线程（默认为5个）进行翻译。输出结果将是一个双语文本文件(会同时生成txt和Word文档)，其中并列着原始文本和翻译文本。双语翻译后的txt文件例子见这里。
You need a OpenAI API key (https://beta.openai.com/signup/)
你需要一个OpenAI的API密钥（https://beta.openai.com/signup/）
--num_threads: The number of threads to use for translation (default: 5).
--only_process_this_file_extension For example, set only_process_this_file_extension="txt"
--not_to_translate_people_names Whether or not to translate names in the text. This can be useful if you are translating academic texts. By default, names will be translated.
--not_to_translate_references By default, not to translate references.
--keep_first_two_paragraphs Keep the first three paragraphs of the original text. By default, false.
PDF parser is based on scipdf project on Github. Some adjustments were done to allow users to parse PDFs without having to initialzing a server locally.