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#!/usr/bin/env python | |
import gradio as gr | |
from urdu_punkt import Urdu | |
from multi_lingual import MultiLingual | |
from langdetect import detect, DetectorFactory | |
DetectorFactory.seed = 42 | |
ur_model = Urdu() | |
multi_model = MultiLingual() | |
title = "SELMA H2020 — Multilingual Punctuation & Casing Prediction" | |
description = "Supported languages are: Amharic, Bengali, German, English, Spanish, French, Hindi, Italian, Latvian, Pashto, Portuguese, Russian, Tamil and Urdu." | |
article = "<p style='text-align: center'><a href='https://selma-project.eu' target='_blank'>SELMA-H2020</a></p>" | |
text_input = gr.Textbox(label="Enter some text") | |
result_output = gr.Textbox(label="Result") | |
def punctuate(text: str) -> str: | |
if detect(text) == "ur": | |
return ur_model.punctuate(text) | |
else: | |
return multi_model.punctuate(text) | |
def run(): | |
io = gr.Interface( | |
fn=punctuate, | |
title=title, | |
description=description, | |
article=article, | |
theme=gr.themes.Soft(), | |
inputs=text_input, | |
outputs=result_output, | |
allow_flagging="never", | |
css="footer {visibility: hidden}", | |
) | |
io.launch(server_name="0.0.0.0", server_port=7860) | |
if __name__ == "__main__": | |
run() |