Update app.py

app.py

@@ -16,13 +16,13 @@ def detect_faces(image , slider ) :
     for (x, y, w, h) in faces:
         cv2.rectangle(image_np, (x, y), (x+w, y+h), (255, 0, 0), 5)        
     
-    return image_np 
+    return image_np , len(faces)
 
 # slider = gr.Slider(minimum=1, maximum=2, step=.1, label="Adjust the ScaleFactor")
 
 iface = gr.Interface(  fn=detect_faces,
     inputs=["image",gr.Slider(minimum=1, maximum=2, step=.1, label="Adjust the ScaleFactor")],
-    outputs="image",
+    outputs=["image", gr.Label("faces count ")] ,
     title="Face Detection using Haar Cascade Classifier ",
     description="Upload an image,and the model will detect faces and draw bounding boxes around them.",
     )