app.py

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"]
  
title = "English to Spanish Translation (forked from osanseviero/test_gradio)"

iface = gr.Interface(
  fn=predict, 
  inputs=[gr.inputs.Textbox(label="text", lines=3)],
  outputs='text',
  title=title,
  examples=[["Hello! My name is Abubakar"], ["How are you?"]]
)

iface.launch()