added interface

interface/app.py

@@ -1,10 +1,43 @@
+import cv2
 import streamlit as st
+from PIL import Image
+def detect_faces(image):
+    face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
 
+    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
+
+    for (x, y, w, h) in faces:
+        cv2.rectangle(image, (x, y), (x+w, y+h), (255, 0, 0), 2)
+
+    return image
 
 def main():
-    st.title("Head shot")
-    st.write("Simulate wartime and get the headshot using python")
-    
-    
-if __name__ == '__main__':
+    st.title("Headshot simulator")
+
+    video_source = st.sidebar.radio("Select video source:", ("Webcam", "Upload"))
+
+    if video_source == "Webcam":
+        cap = cv2.VideoCapture(0)
+    else:
+        uploaded_file = st.sidebar.file_uploader("Choose a video file", type=["mp4", "avi"])
+        if uploaded_file is not None:
+            file_bytes = uploaded_file.read()
+            cap = cv2.VideoCapture(file_bytes)
+
+    if "cap" in locals():
+        while cap.isOpened():
+            ret, frame = cap.read()
+
+            if not ret:
+                break
+
+            frame_with_faces = detect_faces(frame)
+
+            st.image(frame_with_faces, channels="BGR", use_column_width=True)
+
+        cap.release()
+
+if __name__ == "__main__":
     main()