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 ="Interactive demo: Helsinki-NLP English to Spanish Translation"

iface = gr.Interface(
  fn=predict,
  inputs=gr.Textbox(lines =3, placeholder ="text"),
  outputs='text',
  title=title,
  examples=[["Hello! My name is Omar"], ["I like this workshop"]]
)
iface.launch(debug = True)