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# -*- 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
"""
#!pip install gradio transformers googletrans==4.0.0rc1 transformers[sentencepiece] --quiet
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()
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