Update app.py

app.py

@@ -24,22 +24,10 @@ def detect_faces(img, size, neighbours, scale):
 
         midX = int(x+w/2)
         midY = int(y+h/2) 
-        box = {
-                    "position": {
-                        "middle": [midX, midY],
-                        "width": float(w),
-                        "height": float(h)
-                    },
-                    "domain" : "pixel",
-                    "class_id" : 0
-                }
+        box = {"position": {"middle": [midX, midY],"width": float(w),"height": float(h)},"domain" : "pixel","class_id" : 0}
         box_data.append(box)
 
-    predictions = {"predictions": {
-            "box_data": box_data,
-            "class_labels": class_labels
-        }
-        }
+    predictions = {"predictions": {"box_data": box_data,"class_labels": class_labels } }
 
     re_im =cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
     return re_im
@@ -55,5 +43,4 @@ 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,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"]],
-    
+