Reformat Markdown code blocks (#12795)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

docs/en/guides/yolo-thread-safe-inference.md

@@ -28,9 +28,10 @@ When using threads in Python, it's important to recognize patterns that can lead
 
 ```python
 # Unsafe: Sharing a single model instance across threads
-from ultralytics import YOLO
 from threading import Thread
 
+from ultralytics import YOLO
+
 # Instantiate the model outside the thread
 shared_model = YOLO("yolov8n.pt")
 
@@ -54,9 +55,10 @@ Similarly, here is an unsafe pattern with multiple YOLO model instances:
 
 ```python
 # Unsafe: Sharing multiple model instances across threads can still lead to issues
-from ultralytics import YOLO
 from threading import Thread
 
+from ultralytics import YOLO
+
 # Instantiate multiple models outside the thread
 shared_model_1 = YOLO("yolov8n_1.pt")
 shared_model_2 = YOLO("yolov8n_2.pt")
@@ -85,9 +87,10 @@ Here's how to instantiate a YOLO model inside each thread for safe parallel infe
 
 ```python
 # Safe: Instantiating a single model inside each thread
-from ultralytics import YOLO
 from threading import Thread
 
+from ultralytics import YOLO
+
 
 def thread_safe_predict(image_path):
     """Predict on an image using a new YOLO model instance in a thread-safe manner; takes image path as input."""