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Update Docker command in README.md (#99)
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README.md
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README.md
@ -9,17 +9,16 @@ The bilingual_book_maker is an AI translation tool that uses ChatGPT to assist u
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## Preparation
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1. ChatGPT or OpenAI token
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2. prepared epub books
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2. Prepared epub books
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3. Environment with internet access or proxy
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4. python3.8+
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4. Python 3.8+
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## Use
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1. pip install -r requirements.txt
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2. OpenAI API key. If you have multiple keys, separate them by commas (xxx,xxx,xxx) to reduce errors caused by API call limits.
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3. A sample book, test_books/animal_farm.epub, is provided for testing purposes.
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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`
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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`
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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.
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6. Set the target language like `--language "Simplified Chinese"`.
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Support ` "Japanese" / "Traditional Chinese" / "German" / "French" / "Korean"`.
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@ -64,18 +63,19 @@ $language=your_language # see utils.py
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docker run --rm --name bilingual_book_maker --mount type=bind,source=$folder_path,target='/app/test_books' bilingual_book_maker --book_name "/app/test_books/$book_name" --openai_key $openai_key --no_limit --language $language
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# linux
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# Linux
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export folder_path=${your_folder_path}
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export book_name=${your_book_name}
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export openai_key=${your_api_key}
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export language=${your_language}
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docker container run --rm --name bilingual_book_maker --mount type=bind,source=${folder_path},target='/app/test_books' bilingual_book_maker --book_name "/app/test_books/${book_name}" --openai_key ${openai_key} --no_limit --language "${language}"
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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}"
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```
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for example,
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e.g.
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```shell
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# linux
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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
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# Linux
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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
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```
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## Notes
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