app.py

import gradio as gr
from transformers import pipeline

unmasker = pipeline('fill-mask', model="CenIA/distillbert-base-spanish-uncased")

def fill_mask(text):
  text += " [MASK]"
  unmasked = unmasker(text, top_k=8)
  output = {}
  for unmask in unmasked:
    output[unmask["token_str"]] = unmask["score"]
  return output

examples = [["quiero comer "], ["me gustaría ir a"]]

demo = gr.Interface(fn=fill_mask, inputs=gr.Textbox(lines=1, label="Input"), outputs=gr.Label(label="Output"), examples=examples)
demo.launch()