from transformers import pipeline as Pipe | |
class Traductor: | |
def EN_ES(texto:str)->str: | |
try: | |
_traductor = Pipe("text2text-generation", model="Helsinki-NLP/opus-mt-en-es") | |
_traduccion = _traductor(texto)[0] | |
_response = _traduccion.get('generated_text') | |
except Exception as e: | |
_response = str(e) | |
finally: | |
return _response | |
def ES_EN(texto:str)->str: | |
try: | |
_traductor = Pipe("text2text-generation", model="Helsinki-NLP/opus-mt-es-en") | |
_traduccion = _traductor(texto)[0] | |
_response = _traduccion.get('generated_text') | |
except Exception as e: | |
_response = str(e) | |
finally: | |
return _response | |
def AR_ES(texto:str)->str: | |
try: | |
_traductor = Pipe("text2text-generation", model="Helsinki-NLP/opus-mt-ar-es") | |
_traduccion = _traductor(texto)[0] | |
_response = _traduccion.get('generated_text') | |
except Exception as e: | |
_response = str(e) | |
finally: | |
return _response | |
class Abstractor: | |
def resumen(texto:str)->str: | |
try: | |
_abstractor = Pipe("text2text-generation", model="facebook/bart-large-cnn") | |
_resumen = _abstractor(texto)[0] | |
_response = _resumen.get('generated_text') | |
except Exception as e: | |
_response = str(e) | |
finally: | |
return _response |