app.py

import streamlit as st
from model.generate import generate_names

col1, col2, col3 = st.columns([1,1,1])


st.markdown('''This is a simple MLP that predicts the next character given the context of the previous 5 characters!
    If you want to play with this, see the repo [here](https://github.com/BodaSadalla98/Arabic_makemore)



''')

option = col2.selectbox(
    'Select the language to generate the names with:',
    ('Arabic', 'English'))
number = col2.number_input(label='Enter how many names to generate..', min_value=0, max_value=1000, value=5)

names = ''
if col2.button('Generate'):
    if option =='English':
        names = generate_names(number,'en')
    else:
        names = generate_names(number,'ar')


for name in names:
    new_title = f'<p style="font-family:sans-serif;text-align: center; color:Purple; font-size: 30px;">{name}</p>'
    col2.markdown(new_title, unsafe_allow_html=True)

    
st.markdown('''
If you have any questions, contact me: **@bodasadallah**
''')
# st.write(names)