中文 | English

bilingual_book_maker

Make bilingual epub books Using AI translate

Preparation

1. ChatGPT or OpenAI token
2. prepared epub books
3. Environment with internet access or proxy
4. python3.8+

Use

1. pip install -r requirements.txt
2. OpenAI API key. If you have multiple keys, separate them by commas (xxx,xxx,xxx) to reduce errors caused by API call limits.
3. A sample book, test_books/animal_farm.epub, is provided for testing purposes.
4. A sample book, animal_farm.epub, is provided for testing purposes.
5. Use --test command to preview the result if you haven't paid for the service. Note that there is a limit and it may take some time.
6. Set the target language like --language "Simplified Chinese". Support "Japanese" / "Traditional Chinese" / "German" / "French" / "Korean". Default target language is "Simplified Chinese". Support language list please see the LANGUAGES at utils.py.
7. Use the --proxy parameter to enable users in mainland China to use a proxy when testing locally. Enter a string such as http://127.0.0.1:7890.
8. Use the --resume command to manually resume the process after an interruption.
9. If you want to change api_base like using Cloudflare Workers Use --api_base ${url} to support it. **Note: the api url you input should be `https://xxxx/v1', and quotation marks are required. **

e.g.

# Test quickly
python3 make_book.py --book_name test_books/animal_farm.epub --openai_key ${openai_key} --no_limit --test --language "Simplified Chinese"
# or do it
python3 make_book.py --book_name test_books/animal_farm.epub --openai_key ${openai_key} --language "Simplified Chinese"
# or use the GPT-3 model
export OPENAI_API_KEY=${your_api_key}
python3 make_book.py --book_name test_books/animal_farm.epub --model gpt3 --no_limit --language "Simplified Chinese"

More understandable example

python3 make_book.py --book_name 'animal_farm.epub' --openai_key sk-XXXXX --api_base 'https://xxxxx/v1'
# or
python make_book.py --book_name 'animal_farm.epub' --openai_key sk-XXXXX --api_base 'https://xxxxx/v1'

Notes

1. here is a limit. If you want to speed up the process, consider paying for the service or use multiple OpenAI tokens
2. PR welcome
3. The DeepL model will be updated later.

Thanks

• @yetone

Contribution

• Any issues or PRs are welcome.
• TODOs in the issue can also be selected.
• Please run black make_book.py before submitting the code.

Appreciation

Thank you, that's enough.