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from transformers import MarianMTModel, MarianTokenizer | |
def get_model_name(languageCode: str) -> str: | |
model_name = "Helsinki-NLP/opus-mt-pt-en" | |
return model_name | |
def init_translation_model(): | |
model_name = get_model_name("pt") | |
model = MarianMTModel.from_pretrained(model_name) | |
tokenizer = MarianTokenizer.from_pretrained(model_name) | |
return model, tokenizer | |
def get_translation(text_to_translate: str, languageCode: str) -> str: | |
model, tokenizer = init_translation_model() | |
inputs = tokenizer(text_to_translate, return_tensors="pt", truncation=True, padding=True) | |
translated_ids = model.generate(**inputs) | |
translated_text = tokenizer.decode(translated_ids[0], skip_special_tokens=True) | |
print("Translated text:", translated_text) | |
return translated_text | |