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"]

iface = gr.Interface(
  fn=predict, 
  inputs='text',
  outputs='text',
  examples=[["Hello! My name is Omar"]],
  theme="default",
  css=".footer{display:none !important}", 
)

iface.launch()