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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("Facial Emotion Recognition") | |
st.subheader("Introduction") | |
st.write( | |
"""Welcome to the interactive tutorial on creating your very own Emotion Detection Application! In this tutorial, you will learn how to build | |
a simple application that can recognize and detect emotions from facial expressions. Emotion detection is a fascinating field that combines computer vision | |
and machine learning techniques. Are you ready to dive into the exciting world of emotion detection?""" | |
) | |
st.image( | |
"https://miro.medium.com/v2/resize:fit:720/0*Ko6oX3rRb0aTgdUI.gif", | |
use_column_width=True, | |
) | |
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) | |