app.py

import random
import time

import gradio as gr
from transformers import pipeline

translator = pipeline("translation", model=f'Broomva/bart-large-translation-spa-guc')

def slow_echo(message, history):
    translated = translator(message)[0]['translation_text']
    for i in range(len(translated)):
        time.sleep(0.05)
        yield translated[: i+1]

demo = gr.ChatInterface(slow_echo).queue()

if __name__ == "__main__":
    demo.launch()