Update app.py

app.py

@@ -5,7 +5,7 @@ from PIL import Image
 
 # Load Haar Cascade classifier
 face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
-
+slider=gr.Slider(minimum=1,maximum=2,step=.1,label="Adjust the scale factor.")
 # Face Detection Function
 def detect_faces(image_np,slider):
     img=np.array(gray_image)
@@ -20,7 +20,7 @@ def detect_faces(image_np,slider):
         cv2.rectangle(image_np, (x, y), (x + w, y + h), (0, 255, 0), 2)
 
     return img
-slider=gr.Slider(min=1,max=2,step=.1,label="Adjust the scale factor.")
+
 # Create Gradio Interface
 iface = gr.Interface(
     fn=detect_faces,