#tradutor nq usando pipelines
#Autor..: joinfv
#Data...:20/11/2024
import gradio as gr

from transformers import pipeline

#load model
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-big-en-pt")

def predict(text):
  return pipe(text)[0]["translation_text"]
  
title = "Tradutor inglês para Brasileires"

iface = gr.Interface(
  fn=predict, 
  inputs=[gr.Textbox(label="text", lines=3)],
  outputs='text',
  title=title,
)

iface.launch()