Update app.py

app.py

@@ -20,7 +20,7 @@ import gradio as gr
 device = "cuda" if torch.cuda.is_available() else "cpu"
 detection_model = YOLO('yolov8/runs/detect/yolov8s-custom-detection/weights/best.pt').to(device)
 structure_model = YOLO('yolov8/runs/detect/yolov8s-custom-structure-all/weights/best.pt').to(device)
-ocr_model = PaddleOCR(use_angle_cls=True, lang="ch", det_limit_side_len=1920)  # TODO use large det_limit_side_len to get better OCR result
+ocr_model = PaddleOCR(use_angle_cls=True, lang=uk", det_limit_side_len=1920)  # TODO use large det_limit_side_len to get better OCR result
 
 detection_class_names = ['table', 'table rotated']
 structure_class_names = [