feat: support deepl free

README-CN.md

@@ -21,6 +21,7 @@ bilingual_book_maker 是一个 AI 翻译工具，使用 ChatGPT 帮助用户制
 - 本地放了一个 `test_books/animal_farm.epub` 给大家测试
 - 默认用了 [GPT-3.5-turbo](https://openai.com/blog/introducing-chatgpt-and-whisper-apis) 模型，也就是 ChatGPT 正在使用的模型，用 `--model gpt3` 来使用 gpt3 模型
 - 可以使用 DeepL 封装的 api 进行翻译，需要付费，[DeepL Translator](https://rapidapi.com/splintPRO/api/deepl-translator) 来获得 token  `--model deepl --deepl_key ${deepl_key}`
+- 可以使用 DeepL free `--model deeplfree`
 - 可以使用 [Claude](https://console.anthropic.com/docs) 模型进行翻译 `--model claude --claude_key ${claude_key}`
 - 可以使用 google 来翻译 `--model google`
 - 可用使用彩云进行翻译 `--model caiyun --caiyun_key ${caiyun_key}`

README.md

@@ -22,6 +22,7 @@ The bilingual_book_maker is an AI translation tool that uses ChatGPT to assist u
 - 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 gpt4` to change the underlying model to `GPT4` and use `--model gpt3` to change the model to `GPT3`.
    If using `GPT4`, you can add `--use_context` to add a context paragraph to each passage sent to the model for translation (see below)
 - support DeepL model [DeepL Translator](https://rapidapi.com/splintPRO/api/deepl-translator) need pay to get the token use `--model deepl --deepl_key ${deepl_key}`
+- support DeepL free model `--model deeplfree`
 - 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`
 - Support DeepL model [DeepL Translator](https://rapidapi.com/splintPRO/api/deepl-translator) need pay to get the token use `--model deepl --deepl_key ${deepl_key}`
 - Support [Claude](https://console.anthropic.com/docs) model, use `--model claude --claude_key ${claude_key}`

book_maker/translator/__init__.py

@@ -1,6 +1,7 @@
 from book_maker.translator.caiyun_translator import Caiyun
 from book_maker.translator.chatgptapi_translator import ChatGPTAPI
 from book_maker.translator.deepl_translator import DeepL
+from book_maker.translator.deepl_free_translator import DeepLFree
 from book_maker.translator.google_translator import Google
 from book_maker.translator.gpt3_translator import GPT3
 from book_maker.translator.gpt4_translator import GPT4
@@ -12,6 +13,7 @@ MODEL_DICT = {
     "google": Google,
     "caiyun": Caiyun,
     "deepl": DeepL,
+    "deeplfree": DeepLFree,
     "gpt4": GPT4,
     "claude": Claude,
     # add more here

book_maker/translator/deepl_free_translator.py

@@ -0,0 +1,67 @@
+import time
+import random
+import re
+
+from book_maker.utils import LANGUAGES, TO_LANGUAGE_CODE
+
+from .base_translator import Base
+from rich import print
+from PyDeepLX import PyDeepLX
+
+
+class DeepLFree(Base):
+    """
+    DeepL free translator
+    """
+
+    def __init__(self, key, language, **kwargs) -> None:
+        super().__init__(key, language)
+        l = None
+        l = language if language in LANGUAGES else TO_LANGUAGE_CODE.get(language)
+        if l not in [
+            "bg",
+            "zh",
+            "cs",
+            "da",
+            "nl",
+            "en-US",
+            "en-GB",
+            "et",
+            "fi",
+            "fr",
+            "de",
+            "el",
+            "hu",
+            "id",
+            "it",
+            "ja",
+            "lv",
+            "lt",
+            "pl",
+            "pt-PT",
+            "pt-BR",
+            "ro",
+            "ru",
+            "sk",
+            "sl",
+            "es",
+            "sv",
+            "tr",
+            "uk",
+            "ko",
+            "nb",
+        ]:
+            raise Exception(f"DeepL do not support {l}")
+        self.language = l
+        self.time_random = [0.3, 0.5, 1, 1.3, 1.5, 2]
+
+    def rotate_key(self):
+        pass
+
+    def translate(self, text):
+        print(text)
+        t_text = PyDeepLX.translate(text, "EN", self.language)
+        # spider rule
+        time.sleep(random.choice(self.time_random))
+        print("[bold green]" + re.sub("\n{3,}", "\n\n", t_text) + "[/bold green]")
+        return t_text

book_maker/translator/deepl_translator.py

@@ -12,7 +12,7 @@ from rich import print
 
 class DeepL(Base):
     """
-    caiyun translator
+    DeepL translator
     """
 
     def __init__(self, key, language, **kwargs) -> None:

setup.py

@@ -2,7 +2,16 @@
 from setuptools import find_packages, setup
 
 
-packages = ["bs4", "openai", "requests", "ebooklib", "rich", "tqdm", "tiktoken"]
+packages = [
+    "bs4",
+    "openai",
+    "requests",
+    "ebooklib",
+    "rich",
+    "tqdm",
+    "tiktoken",
+    "PyDeepLX",
+]
 
 
 setup(

tests/test_integration.py

@@ -40,6 +40,32 @@ def test_google_translate_epub(test_book_dir, tmpdir):
     assert os.path.getsize(os.path.join(tmpdir, "Liber_Esther_bilingual.epub")) != 0
 
 
+def test_deepl_free_translate_epub(test_book_dir, tmpdir):
+    """Test deepl free translate epub"""
+    shutil.copyfile(
+        os.path.join(test_book_dir, "Liber_Esther.epub"),
+        os.path.join(tmpdir, "Liber_Esther.epub"),
+    )
+
+    subprocess.run(
+        [
+            sys.executable,
+            "make_book.py",
+            "--book_name",
+            os.path.join(tmpdir, "Liber_Esther.epub"),
+            "--test",
+            "--test_num",
+            "20",
+            "--model",
+            "deeplfree",
+        ],
+        env=os.environ.copy(),
+    )
+
+    assert os.path.isfile(os.path.join(tmpdir, "Liber_Esther_bilingual.epub"))
+    assert os.path.getsize(os.path.join(tmpdir, "Liber_Esther_bilingual.epub")) != 0
+
+
 def test_google_translate_epub_cli():
     pass