app.py

import streamlit as st
import cv2
import numpy as np
from fer import FER
from PIL import Image

detector = FER(mtcnn=True)

def detect_emotion(image):
    img_array = np.array(image)
    emotions = detector.detect_emotions(img_array)[0]
    dominant_emotion = max(emotions['emotions'], key=emotions['emotions'].get)
    
    return dominant_emotion

st.title("Emotion Detection from Photo")

uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])

if uploaded_file is not None:
    image = Image.open(uploaded_file)
    st.image(image, caption="Uploaded Image", use_column_width=True)
    
    if st.button("Detect Emotion"):
        result = detect_emotion(image)
        st.write(f"Detected emotion: {result}")