try this

app.py

@@ -83,6 +83,7 @@ def process(
     dino_labled_img, label_coordinates, parsed_content_list = get_som_labeled_img(image_save_path, yolo_model, BOX_TRESHOLD = box_threshold, output_coord_in_ratio=False, ocr_bbox=ocr_bbox,draw_bbox_config=draw_bbox_config, caption_model_processor=caption_model_processor, ocr_text=text,iou_threshold=iou_threshold)
     image = Image.open(io.BytesIO(base64.b64decode(dino_labled_img)))
     print('finish processing')
+    parsed_content_list = '\n'.join(parsed_content_list)
     
  # Format the coordinates output in a more readable way
     # coordinates_text = "Bounding Box Coordinates (x, y, width, height):\n"
@@ -91,27 +92,8 @@ def process(
     #     coords_list = coords.tolist()
     #     coords_formatted = [f"{coord:.1f}" for coord in coords_list]
     #     coordinates_text += f"Box {box_id}: [{coords_formatted[0]}, {coords_formatted[1]}, {coords_formatted[2]}, {coords_formatted[3]}]\n"
-
-    combined_content = []
-    for i, content in enumerate(parsed_content_list):
-        if content.startswith('Text Box ID'):
-            box_id = str(i)
-        else:
-            # Extract the ID number from Icon Box ID format
-            box_id = content.split('Icon Box ID ')[1].split(':')[0]
         
-        coords = label_coordinates.get(box_id)
-        if coords is not None:  # Changed from 'if coords:' to handle numpy arrays
-            coords_str = [round(x) for x in coords]  # Convert numpy values to rounded integers
-            combined_content.append(f"{content} | Coordinates: {coords_str}")
-        else:
-            combined_content.append(content)
-
-  # Join the content lists into strings
-    parsed_content_str = '\n'.join(parsed_content_list)
-    combined_content_str = '\n'.join(combined_content)
-    
-    return image, parsed_content_str, combined_content_str
+    return image, str(parsed_content_list), str(label_coordinates)
 
 
 with gr.Blocks() as demo: