Update app.py

app.py

@@ -34,12 +34,12 @@ def predict(image):
     if isinstance(image, str):
         image = cv2.imread(image)
     _, img_wapred, _, _ = detect_lp(wpod_net, image, 0.5)
-    if len(img_warped) == 0:
+    if len(img_wapred) == 0:
         return "Can not detect license plate from image"
     else:
         system.eval()
         pred_labels = []
-        for i in range(len(img_warped)):
+        for i in range(len(img_wapred)):
             img =  (img_wapred[i] * 255).astype(np.uint8)
             img = Image.fromarray(img).convert("RGB")
             image = trans(img).unsqueeze(0)