| from deep_translator import GoogleTranslator | |
| from transformers import pipeline | |
| import translators as ts | |
| class MangaTranslator: | |
| def __init__(self): | |
| self.target = "en" | |
| self.source = "ja" | |
| self.translators = { | |
| "google": self._translate_with_google, | |
| "hf": self._translate_with_hf, | |
| "baidu": self._translate_with_baidu, | |
| "bing": self._translate_with_bing | |
| } | |
| def translate(self, text, method="google"): | |
| """ | |
| Translates the given text to the target language using the specified method. | |
| Args: | |
| text (str): The text to be translated. | |
| method (str):"google" for Google Translator, | |
| "hf" for Helsinki-NLP's opus-mt-ja-en model (HF pipeline) | |
| "baidu" for Baidu Translate | |
| "bing" for Microsoft Bing Translator | |
| Returns: | |
| str: The translated text. | |
| """ | |
| translator_func = self.translators.get(method) | |
| if translator_func: | |
| return translator_func(self._preprocess_text(text)) | |
| else: | |
| raise ValueError("Invalid translation method.") | |
| def _translate_with_google(self, text): | |
| translator = GoogleTranslator(source=self.source, target=self.target) | |
| translated_text = translator.translate(text) | |
| return translated_text if translated_text is not None else text | |
| def _translate_with_hf(self, text): | |
| pipe = pipeline("translation", model=f"Helsinki-NLP/opus-mt-ja-en") | |
| translated_text = pipe(text)[0]["translation_text"] | |
| return translated_text if translated_text is not None else text | |
| def _translate_with_baidu(self, text): | |
| translated_text = ts.translate_text(text, translator="baidu", | |
| from_language="jp", | |
| to_language=self.target) | |
| return translated_text if translated_text is not None else text | |
| def _translate_with_bing(self, text): | |
| translated_text = ts.translate_text(text, translator="bing", | |
| from_language=self.source, | |
| to_language=self.target) | |
| return translated_text if translated_text is not None else text | |
| def _preprocess_text(self, text): | |
| preprocessed_text = text.replace("．", ".") | |
| return preprocessed_text | |