Update app.py

app.py

@@ -15,12 +15,20 @@ def detect_faces(image):
 
     for i in results:
         im = cv2.rectangle(image, (int(i[0][0]),int(i[0][1])), (int(i[0][2]),int(i[0][3])), (0,0,255), 2)
-    return im
+
+    image_np = np.array(image)
+    gray_image = cv2.cvtColor(image_np, cv2.COLOR_RGB2GRAY)
+    face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
+    faces = face_cascade.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
+    for (x, y, w, h) in faces:
+        cv2.rectangle(image_np, (x, y), (x+w, y+h), (0, 255, 0), 2)
+    
+    return im,image_np
 
 interface = gr.Interface(
     fn=detect_faces,
-    inputs=["image","image"],
-    outputs="image",
+    inputs="image",
+    outputs=["image","image"],
     title="Face Detection Deep Learning",
     description="Upload an image, and the model will detect faces and draw bounding boxes around them.",
 )