Update README.md

README.md

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 > **Gym-Workout-Classifier-SigLIP2** is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It is designed to classify gym workout exercises using the **SiglipForImageClassification** architecture.  
 
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+```py
     Classification Report:
                          precision    recall  f1-score   support
     
@@ -47,7 +47,7 @@ tags:
                accuracy                         0.9638      9687
               macro avg     0.9643    0.9625    0.9630      9687
            weighted avg     0.9647    0.9638    0.9639      9687
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+```
 
 ![download.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/czlXLMN1O6q2yL4364ySm.png)