| import gradio as gr | |
| import transformers | |
| import sentencepiece | |
| from transformers import pipeline | |
| translate=pipeline('translation',model='Helsinki-NLP/opus-mt-fr-en') | |
| def get_translation(text): | |
| translat=translate(text) | |
| return translat[0]['translation_text'] | |
| interf=gr.Interface(get_translation,title='translation text to english',inputs='text',outputs='text').launch() |