#!/usr/bin/env python

import gradio as gr
from fastapi import FastAPI
from urdu_punkt import Urdu
from multi_lingual import MultiLingual
from langdetect import detect, DetectorFactory

CUSTOM_PATH = "/punctuate"
DetectorFactory.seed = 42

app = FastAPI()
nemo_model = Urdu()
multi_model = MultiLingual()


def punctuate(text: str) -> str:
    if detect(text) == "ur":
        return nemo_model.punctuate(text)
    else:
        return multi_model.punctuate(text)


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")

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}",
)

app = gr.mount_gradio_app(app, io, path=CUSTOM_PATH)