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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 Recognition') | |
# Title | |
st.title('About This Project') | |
st.markdown('---') | |
st.write('###### The Facial Emotions/Expressions Recognition tool is a tool to recognize 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, angry, neutral, fear and surprised.') | |
st.markdown('---') | |
if __name__ == '__main__': | |
run() |