import streamlit as st

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 using Machine Learning, providing helpful suggestions & recommendations 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** AI is *Computer Vision* and *Machine Learning* technology that tracks various hockey game objects in videos, determines player team memberships and measures game dynamics. 

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

st.subheader('Hockey Pressure Meter')

st.markdown('''The Hockey Pressure Meter is a visualization of the Top Shelf ML pipeline which uses the location and team membership of each player on the ice to calculate the pressure applied by each team during the course of the game.

''')

st.image('src/images/samples/v3/pressure_meter.png')