Create app.py

app.py

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+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}")