| 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) | |