Update app.py

app.py

@@ -27,7 +27,7 @@ def process_img(image):
     with torch.no_grad():
         result = model(source=image)
         if len(result[0].boxes)>0:
-            ann=Annotator(im=img)
+            ann=Annotator(im=image)
             boxes=result[0].boxes.xyxy
             for element in boxes:
                 box=np.array(element.cpu()).flatten()
@@ -48,7 +48,7 @@ def process_img(image):
                 ann.box_label(box=box, label=label, color=(0,128,0))
             vis=ann.result()
         else:
-            vis = img
+            vis = image
     return vis
     
 title = "Efficient Hazy Vehicle Detection ✏️[] 🤗"