app.py

# Hint: this cheatsheet is magic! https://cheat-sheet.streamlit.app/
import streamlit as st
import pandas as pd

from franco_arabic_transliterator.franco_arabic_transliterator import FrancoArabicTransliterator

@st.cache_resource
def load_model():
    return FrancoArabicTransliterator()

transliterator = load_model()

sent = st.text_input(
    "Franco Arabic (Arabizi) Sentence:", placeholder="Enter an Arabizi sentence.", on_change=None
)

# TODO: Check if this is needed!
clicked = st.button("Submit")

if sent:
    lexicon_transliteration = transliterator.transliterate(sent, method="lexicon")
    lm_transliteration = transliterator.transliterate(sent, method="language-model")

    df = pd.DataFrame(
        {"method": ["Lexicon", "Language Model"],
         "transliteration": [lexicon_transliteration, lm_transliteration]})
    st.table(
        df,
    )

    print(sent)