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import streamlit as st | |
from utils.levels import complete_level, initialize_level, render_page, get_level | |
from utils.login import initialize_login | |
initialize_login() | |
initialize_level() | |
LEVEL = 0 | |
def intro_page(): | |
st.header("Face Recognition") | |
st.subheader("Introduction") | |
st.write( | |
""" | |
Welcome to the interactive tutorial on creating your very own Face Recognition Application! | |
""" | |
) | |
st.image( | |
"https://static.wixstatic.com/media/abb909_35aa4b27e4b840659a20fd69f0a18354~mv2.gif", | |
use_column_width=True, | |
) | |
st.write( | |
""" | |
In this tutorial, you will learn how to build a simple application that can detect and recognise faces from a given photo. Face recognition has revolutionized | |
various industries, including security, entertainment, and personal identification. Are you ready to dive into the exciting world of face recognition? | |
""" | |
) | |
st.info(f"Click on the button below to start the tutorial!") | |
if st.button("I am Ready!"): | |
complete_level(LEVEL) | |
render_page(intro_page, LEVEL) | |