Update app.py

app.py

@@ -9,7 +9,7 @@ def detect_faces(image):
 "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)
+     cv2.rectangle(image_np, (x, y), (x+w, y+h), (0, 255, 0), 9)
  return image_np
 
 iface= gr.Interface(fn=detect_faces,inputs="image",outputs="image",title="Face Detection",description="Upload an image, and the model will detect faces and draw bounding boxes around them.",)