| import gradio as gr | |
| from transformers import pipeline | |
| translator = pipeline("translation", model="Helsinki-NLP/opus-mt-en-fr") | |
| def translate_sentence(input_text): | |
| """Get a sentence in french. | |
| And return his translation in english | |
| """ | |
| for value in translator(input_text)[0].values: | |
| return value | |
| iface = gr.Interface(fn = translate_sentence, inputs = 'text', output = 'text', | |
| title = "Traduction EN-FR", | |
| description = "Un mini google translate avec HuggingFace") | |
| iface.launch(inline = False) |