import gradio as gr from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es") def predict(text): return pipe(text)[0]["translation_text"] demo = gr.Interface( title='English to Spanish translation!! :)\nTraducción de Inglés a Español! :D\n', fn=predict, inputs='text', outputs='text', ) demo.launch()