home.py

import streamlit as st
from PIL import Image

def run():
    # Add Picture
    image = Image.open('facial_expressions.jpg')
    st.image(image, caption='Facial Emotions/Expressions Detection')
    # Title
    st.title('About This Project')
    st.markdown('---')
    st.write('###### The Facial Emotions/Expressions Detection tool is a tool to predict/detect the facial expressions/emotions of an image uploaded of a person, backed by a machine learning model, using Keras Framework/API. It classify the expressions into eight categories of facial emotions: Contempt, happy, sad, disgust, anger, neutral, feat and surprised.')
    st.markdown('---')
    


if __name__ == '__main__':
    run()