Update README.md

README.md

@@ -15,7 +15,8 @@ Vehicle inspection automation
 Fleet management optimization
 🚀 Enhance your car damage prediction tasks with the llm VIT BEIT model. Experience unprecedented accuracy and reliability for a wide range of applications. Get started with Hugging Face integration today!
 # First Approach
-import numpy as np
+<CODE>
+import numpy as np 
 from PIL import Image
 from transformers import AutoImageProcessor, AutoModelForImageClassification
 
@@ -33,8 +34,10 @@ label_map = model.config.id2label
 predicted_class_name = label_map[predicted_class_id]
 
 print(f"Predicted class: {predicted_class_name} (probability: {predicted_proba:.4f})")
-
+</CODE>
 # 2nd Aprroach
+<CODE>
 from transformers import pipeline
 
-pipe = pipeline("image-classification", model="beingamit99/car_damage_detection")
+pipe = pipeline("image-classification", model="beingamit99/car_damage_detection")
+</CODE>