Translation Service Module for other projects.
pip install translang
You can easily extend the TranslationService class to integrate with popular translation API services.
Refer to the inference method and generate method in hf-transllm project.
from translang import TranslationService
class CustomTranslationService(TranslationService):
def __init__(self, translator="google", deepl_api_key=None, bard_api_key=None, openai_api_key=None, openai_model='gpt-3.5-turbo'):
super().__init__(translator, deepl_api_key, bard_api_key, openai_api_key, openai_model)
def custom_process_with_translation(self, text: str, target_lang: str) -> str:
translated_text = self.translate(text, target_lang)
# Perform additional customization or processing if needed
return translated_texttranslator = CustomTranslationService(translator="google")
translated_text = translator.custom_process_with_translation("Hello", "ko")
print(translated_text)Google Translator, DeepL, OpenAI, Bard
fomr translang import TranslationService
translator = TranslationService(translator="google") # Unofficial Google Translate for functionality testing.
# translator = TranslationService(translator="google_official", google_api_key="YOUR_GOOGLE_API_KEY") # Google Translator
# translator = TranslationService(translator="deepl", deepl_api_key="YOUR_DEEPL_API_KEY") # DeepL
# translator = TranslationService(translator="bard", bard_api_key="YOUR_BARD_API_KEY") # Bard
# translator = TranslationService(translator="openai", openai_api_key="YOUR_OPENAI_API_KEY", openai_model="gpt-3.5-trubo") # Open AI
translated_text = translator.translate("Hello", "ko")
print(translated_text)from translang import TranslationService
# Create an instance of TranslationService
translator = TranslationService(translator="google", use_cache=True) # Unofficial Google Translate for functionality testing.
# List of texts to translate
texts = [
"Hello",
"Nice to meet you",
"Testing the translation service"
]
# Destination language code
target_lang = "ko"
# Call the translate_parallel method
translated_texts = translator.translate_parallel(texts, target_lang)
# Print the translated texts
for text, translated_text in zip(texts, translated_texts):
print(f"Original: {text}")
print(f"Translated: {translated_text}")
print("-----")Commercial use or official use of the Google Translate service is chargeable. Please provide the translator="google_official" and google_api_key={YOUR_API_KEY} arguments. Please responsibly use the translator="google" argument for the purpose of simple functionality verification. Refer to the following notebook file and official link for more information. Use the google argument only for some basic functionality testing.
MIT
I hold no legal responsibility;
The MIT License (MIT)
Copyright (c) 2023 Minwoo Park
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Sincerely grateful for any reports on new features or bugs. Your valuable feedback on the code is highly appreciated.
- Core maintainer: Daniel Park, South Korea
- E-mail: parkminwoo1991@gmail.com