Update README.md

README.md

@@ -64,6 +64,8 @@ The model was trained using the notebook available at [Kaggle](https://www.kaggl
 
 To use the `moazx/AraBERT-Restaurant-Sentiment` model, you can load it using the Hugging Face `transformers` library. Below is an example of how to use the model to classify a restaurant review:
 
+
+```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 
@@ -87,8 +89,7 @@ predicted_class = "إيجابي" if positive_prob > negative_prob else "سلبي
 print(f"التصنيف المتوقع: {predicted_class}")
 print(f"احتمالية سلبي: {negative_prob:.2f}")
 print(f"احتمالية إيجابي: {positive_prob:.2f}")
-
-'''
+```
 
 ## Acknowledgements