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Update Docker command in README.md (#99)

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@ -9,17 +9,16 @@ The bilingual_book_maker is an AI translation tool that uses ChatGPT to assist u
## Preparation ## Preparation
1. ChatGPT or OpenAI token 1. ChatGPT or OpenAI token
2. prepared epub books 2. Prepared epub books
3. Environment with internet access or proxy 3. Environment with internet access or proxy
4. python3.8+ 4. Python 3.8+
## Use ## Use
1. pip install -r requirements.txt 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. 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. 3. A sample book, test_books/animal_farm.epub, is provided for testing purposes.
4. The default underlying model is [GPT-3.5-turbo](https://openai.com/blog/introducing-chatgpt-and-whisper-apis) ，which is used by ChatGPT currently. Use `--model gpt3` to change the underlying model to `GPT3` 4. The default underlying model is [GPT-3.5-turbo](https://openai.com/blog/introducing-chatgpt-and-whisper-apis), which is used by ChatGPT currently. Use `--model gpt3` to change the underlying model to `GPT3`
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. 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"`. 6. Set the target language like `--language "Simplified Chinese"`.
Support ` "Japanese" / "Traditional Chinese" / "German" / "French" / "Korean"`. Support ` "Japanese" / "Traditional Chinese" / "German" / "French" / "Korean"`.
@ -64,18 +63,19 @@ $language=your_language # see utils.py
docker run --rm --name bilingual_book_maker --mount type=bind,source=$folder_path,target='/app/test_books' bilingual_book_maker --book_name "/app/test_books/$book_name" --openai_key $openai_key --no_limit --language $language docker run --rm --name bilingual_book_maker --mount type=bind,source=$folder_path,target='/app/test_books' bilingual_book_maker --book_name "/app/test_books/$book_name" --openai_key $openai_key --no_limit --language $language
# linux # Linux
export folder_path=${your_folder_path} export folder_path=${your_folder_path}
export book_name=${your_book_name} export book_name=${your_book_name}
export openai_key=${your_api_key} export openai_key=${your_api_key}
export language=${your_language} export language=${your_language}
docker container run --rm --name bilingual_book_maker --mount type=bind,source=${folder_path},target='/app/test_books' bilingual_book_maker --book_name "/app/test_books/${book_name}" --openai_key ${openai_key} --no_limit --language "${language}" docker run --rm --name bilingual_book_maker --mount type=bind,source=${folder_path},target='/app/test_books' bilingual_book_maker --book_name "/app/test_books/${book_name}" --openai_key ${openai_key} --no_limit --language "${language}"
``` ```
for example,
e.g.
```shell ```shell
# linux # Linux
docker container run --rm --name bilingual_book_maker --mount type=bind,source=/home/user/my_books,target='/app/test_books' bilingual_book_maker --book_name /app/test_books/animal_farm.epub --openai_key sk-XXX --no_limit --test --test_num 1 --language zh-hant docker run --rm --name bilingual_book_maker --mount type=bind,source=/home/user/my_books,target='/app/test_books' bilingual_book_maker --book_name /app/test_books/animal_farm.epub --openai_key sk-XXX --no_limit --test --test_num 1 --language zh-hant
``` ```
## Notes ## Notes