import gradio as gr | |
import transformers | |
import sentencepiece | |
from transformers import pipeline | |
translator=pipeline("translation",model='Helsinki-NLP/opus-mt-fr-en') | |
def Get_Translation(input_text): | |
texte=translator(input_text) | |
result= texte[0]['translation_text'] | |
return result | |
iface = gr.Interface(fn=Get_Translation, | |
title='Text Translation', | |
inputs='text', | |
outputs='text', | |
description='Get translation of giving input').launch() |