Update app.py

app.py

@@ -12,12 +12,12 @@ model = DetrForObjectDetection.from_pretrained("Guy2/AirportSec-150epoch")
 id2label = {0: 'dangerous-items', 1: 'Gun', 2: 'Knife', 3: 'Pliers', 4: 'Scissors', 5: 'Wrench'}
 def anylize(url):
     image = Image.open(requests.get(url, stream=True).raw)
-    image = np.array(image)
     with torch.no_grad():
 
         inputs = image_processor(images=image, return_tensors='pt')
         outputs = model(**inputs)
-    
+
+        image = np.array(image)
         target_sizes = torch.tensor([image.shape[:2]])
         results = image_processor.post_process_object_detection(
             outputs=outputs,