llmtranslate is a Python library designed to identify the language of a given text and translate text between multiple languages using OpenAI's GPT-4o. The library is especially useful for translating text containing multiple languages into a single target language.
- Language Detection: Identify the language of a given text in ISO 639-1 format.
- Translation: Translate text containing multiple languages into another language in ISO 639-1 format.
To use this library, you must have an OpenAI API key. This key allows the library to utilize OpenAI's GPT-4o for translation and language detection.
You can install the llmtranslate library from PyPI:
pip install llmtranslateBefore using llmtranslate with OpenAI, you need to set your OpenAI API key. You can do this by creating an instance of the TranslatorOpenAI class.
from llmtranslate.translator import TranslatorOpenAI
# Set your OpenAI API key
translator = TranslatorOpenAI(open_ai_api_key="YOUR_OPENAI_API_KEY")If you are using Azure's OpenAI services, you need to set your Azure OpenAI API key along with additional required parameters. Use the TranslatorAzureOpenAI class for this.
from llmtranslate.translator import TranslatorAzureOpenAI
# Set your Azure OpenAI API key and related parameters
translator = TranslatorAzureOpenAI(
azure_endpoint="YOUR_AZURE_ENDPOINT",
api_key="YOUR_AZURE_API_KEY",
api_version="YOUR_API_VERSION",
azure_deployment="YOUR_AZURE_DEPLOYMENT"
)To detect the language of a given text:
from llmtranslate.translator import TranslatorOpenAI
# Set your OpenAI API key
translator = TranslatorOpenAI(open_ai_api_key="YOUR_OPENAI_API_KEY")
# Detect language
detected_language = translator.get_text_language("Hello world")
if detected_language is not None:
print(detected_language.ISO_639_1_code) # Output: 'en'
print(detected_language.ISO_639_2_code) # Output: 'eng'
print(detected_language.ISO_639_3_code) # Output: 'eng'
print(detected_language.language_name) # Output: 'English'Important
If the translator does not detect any language, it will return None.
Before using results of translator detection you should check if it returned correct result or None
To translate text containing multiple languages into another language:
from llmtranslate.translator import TranslatorOpenAI
# Set your OpenAI API key
translator = TranslatorOpenAI(open_ai_api_key="YOUR_OPENAI_API_KEY")
# Translate text
translated_text = translator.translate("Cześć jak się masz? Meu nome é Adam", "en")
print(translated_text) # Output: "Hello how are you? My name is Adam"Here is a complete example demonstrating how to use the library:
from llmtranslate.translator import TranslatorOpenAI
# Initialize the translator with your OpenAI API key
translator = TranslatorOpenAI(open_ai_api_key="YOUR_OPENAI_API_KEY")
# Detect language
detected_language = translator.get_text_language("jak ty się nazywasz")
if detected_language is not None:
print(detected_language.ISO_639_1_code) # Output: 'pl'
print(detected_language.ISO_639_2_code) # Output: 'pol'
print(detected_language.ISO_639_3_code) # Output: 'pol'
print(detected_language.language_name) # Output 'Polish'
# Translate text
translated_text = translator.translate("Cześć jak się masz? Meu nome é Adam", "en")
print(translated_text) # Output: "Hello how are you? My name is Adam"llmtranslate supports all languages supported by GPT-4o. For a complete list of language codes, you can visit the ISO 639-1 website.
Here are some of the most popular languages and their ISO 639-1 codes:
- English:
en - Spanish:
es - French:
fr - German:
de - Chinese:
zh - Japanese:
ja - Korean:
ko - Portuguese:
pt - Russian:
ru - Italian:
it - Dutch:
nl - Arabic:
ar - Hindi:
hi - Bengali:
bn - Turkish:
tr - Polish:
pl - Swedish:
sv - Norwegian:
no - Danish:
da - Finnish:
fi - Greek:
el - Hebrew:
he
llmtranslate is licensed under the MIT License. See the LICENSE file for more details.