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from collections import namedtuple
from functools import partial
import torch
from transformers import pipeline
def get_translator():
return pipeline(
"translation_en_to_ru",
model="Helsinki-NLP/opus-mt-ru-en",
device="cuda" if torch.cuda.is_available() else "cpu",
torch_dtype="auto",
)
class Input:
def __init__(self, title, abstract, authors):
self.title = title
self.abstract = abstract
self.authors = authors
class TranslationModel:
def __init__(self, get_model):
self.translator = get_translator()
self.model = get_model()
def __call__(self, input):
def translate(text):
if text is None or text.strip() == "":
return ""
text = str(text).strip()
translated = self.translator(text)[0]['translation_text']
return translated
title = translate(input.title)
abstract = translate(input.abstract)
authors = translate(input.authors)
out = self.model(Input(title, abstract, authors))
return out
def create_translation_models(models):
return {
f"{name} (С помощью перевода)": partial(TranslationModel, get_model=get_model)
for name, get_model in models.items()
}
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