Update app.py

app.py

@@ -5,13 +5,14 @@ import supervision as sv
 import json
 import requests
 from PIL import Image
-
+import numpy as np
+ 
 image_processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50")
 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')