Update app.py

app.py

@@ -11,9 +11,7 @@ def detect_faces(img, size, neighbours, scale):
     frame = imutils.resize(frame, width=500)
     gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
 
-    faceRects = face_detector.detectMultiScale(
-        gray, scaleFactor=scale, minNeighbors=neighbours, minSize=(size, size),
-        flags=cv2.CASCADE_SCALE_IMAGE)
+    faceRects = face_detector.detectMultiScale(gray, scaleFactor=scale, minNeighbors=neighbours, minSize=(size, size),flags=cv2.CASCADE_SCALE_IMAGE)
 
     box_data = []
 
@@ -56,6 +54,6 @@ scale_slider = gr.components.Slider(minimum=1.1, maximum=2.0, value=1.3, step=0.
 description = """Face Detection with Haar Cascades using OpenCV"""
 
 
-Iface = gr.Interface(fn=detect_faces,inputs=[image, size_slider, neighbour_slider, scale_slider],outputs=out_im,
-    #examples=[["data/9_Press_Conference_Press_Conference_9_86.jpg"], ["data/12_Group_Group_12_Group_Group_12_39.jpg"], ["data/31_Waiter_Waitress_Waiter_Waitress_31_55.jpg"]],
-    title="Haar Cascade Object Detection",).launch()
+Iface = gr.Interface(fn=detect_faces,inputs=[image, size_slider, neighbour_slider, scale_slider],outputs=out_im,title="Haar Cascade Object Detection",).launch()
+#examples=[["data/9_Press_Conference_Press_Conference_9_86.jpg"], ["data/12_Group_Group_12_Group_Group_12_39.jpg"], ["data/31_Waiter_Waitress_Waiter_Waitress_31_55.jpg"]],
+