Upload app.py

app.py

@@ -9,10 +9,15 @@ def my_app(img):
     analysedData = classifier.detectMultiScale(flipped_image,
                                                minSize=(20, 20))
     if len(analysedData) != 0:
+        for (x, y, width, height) in analysedData:
+            return cv2.rectangle(flipped_image, (x, y),
+                          (x + height, y + width),
+                          (0, 255, 0), 5)
+            return flipped_image
         return ("S T O P !")
     else:
+        return flipped_image
         return ("You're good to go :)")
 
 
-gr.interface.Interface(fn=my_app, live=True, inputs=gr.Image(
-    source='webcam', streaming=True), outputs="text").launch()
+gr.interface.Interface(fn=my_app, live=True, inputs="image", outputs="image").launch()