Update app.py

app.py

@@ -52,7 +52,7 @@ model.eval()  # Set the model to evaluation mode
 def preprocess_image(image):
     #img0 = cv2.imread(image_path)
     #img = letterbox(img0, 640, stride=32, auto=True)[0]  # Resize and pad to 640x640
-    img0 = letterbox(imgge, 640, stride=32, auto=True)[0]  # Resize and pad to 640x640
+    img0 = letterbox(image, 640, stride=32, auto=True)[0]  # Resize and pad to 640x640
     img = img.transpose(2, 0, 1)[::-1]  # Convert BGR to RGB, to 3x416x416
     img = np.ascontiguousarray(img)
     img = torch.from_numpy(img).to(device)