app.py

# -*- coding: utf-8 -*-
"""Gradio Course 02 - upload.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1eA4N71lce8BxJnrON-opJolgLoemJv5d
"""


import gradio as gr
from transformers import pipeline
from googletrans import Translator

model_card = 'Shularp/model-translate-en-to-ar-from-320k-dataset-ar-en-th2301191458'

pipe2 = pipeline("translation", model = model_card)

def trans_via_google(text,source, target):
  google_trans = Translator() #reduce problem timeout runtime.
  return google_trans.translate(text = text, src = source, dest = target).text

def translate_th_ar(text):
  text_en = trans_via_google(text,'th', 'en')
  return pipe2(text_en)[0]['translation_text']

translate_th_ar('หิวข้าวจังเลย')

with gr.Blocks() as demo:
  with gr.Row():
    with gr.Column():
      english = gr.Textbox(label = 'ข้อความภาษาไทย')
      translate_btn = gr.Button(value = 'Translate')
    with gr.Column():
      arabic = gr.Textbox(label = 'ข้อความภาษาอาหรับ')
    translate_btn.click(translate_th_ar, inputs = english, outputs=arabic)

demo.launch()