src/Home.py

import streamlit as st

import logging

st.set_page_config(page_title='TopShelf POC', layout="wide",
                   page_icon="🥅")

st.title('Welcome To Top Shelf :goal_net:',
         help=':video_camera: + :ice_hockey_stick_and_puck: = :clipboard:')
st.subheader('Artificial Intelligence for Hockey Coaches and Players',
             help='Proof of concept application')

overview = '''**Top Shelf** helps coaches and players analyze their gameplay, providing helpful suggestions on areas for improvement.  

We're starting with a focus on ice hockey, however this same technology could apply to other "invasion" games and sports, for example lacrosse, basketball, soccer, etc.

The special sauce behind **Top Shelf** is AI *Computer Vision*  technology that recognizes various hockey related objects in videos. 
The foundation of the technology is an AI model that can recognize players, nets, referees, pucks, and rink areas. 

**Top Shelf** uses this technology to analyze game play and provide insightful suggestions on areas for improvement. 
'''
st.markdown(overview)

st.subheader('Getting Started')
st.markdown('''We're currently in the training and testing phase of **Top Shelf** development.  This is a proof of concept application that friends of **Top Shelf** can use to help in development. 
To help us understand how our *Computer Vision* model is working you can upload hockey pictures and then the app will display what hockey objects were found. ''')