Home.py

import streamlit as st
import functions as fc

# Icon 👀 alojado en: https://cdn.jsdelivr.net/gh/twitter/twemoji@14.0.2/assets/72x72/1f440.png
# Ha sido necesario cambiar la ubicación del mismo ya que streamlit busca por defecto en maxcdn que ha sido cerrado
# https://github.com/twitter/twemoji/issues/580

st.set_page_config(
    page_title="ASD Check - Home",
    page_icon="https://cdn.jsdelivr.net/gh/twitter/twemoji@14.0.2/assets/72x72/1f440.png",
    layout="centered",
    initial_sidebar_state="auto",
    menu_items={
        'Get Help': 'https://github.com/Rchatru/TEA-WebApp/',
        'Report a bug': "https://github.com/Rchatru/TEA-WebApp/issues",
        'About': "# ASD WebApp. Roberto Chávez Trujillo."
    }
)

st.title('🔎 ASD-check WebApp')

st.markdown('''
This web application, developed using Python and Streamlit, is designed to offer a user-friendly interface for interacting with the results of PhD research
focused on diagnosing Autism Spectrum Disorder (ASD) using eye-tracking data.

The application is organized into several sections, each with a distinct purpose. You can navigate through the application using the links provided below, or the corresponding tabs located in the sidebar:

1. [Home](https://asd-check.streamlit.app/): This introductory page provides an overview and allows access to the other sections.
2. [Models & Training](https://asd-check.streamlit.app/Model): Here, users can provide additional training data to re-train the algorithm (under construction) and manage different trained models.
3. [Results & Predictions](https://asd-check.streamlit.app/Predict): This section enables users to input data for a specific individual to obtain a diagnosis from the trained model.

The subsequent pages follow a consistent layout. The central section of each page displays the results of the executed processes, 
while the sidebar provides options for input and output actions such as uploading files and exporting results.
''')