update acc info

app.py

@@ -66,14 +66,14 @@ def predict(image):
 
 # Create Gradio interface
 title = "ImageNet1k Classification"
-description = """Upload an image and the model will predict its category using the ImageNet1k classification system.
+description = """Accuracy for this model is top@1: 75.212%, top@5: 92.668% after 80 epochs. Upload an image and the model will predict its category using the ImageNet1k classification system.
 Tips for best results:
 - Use clear, well-lit images; ensure the main subject is centered and clearly visible
 - The model works best with common objects, animals, and scenes
 - Images can be any size or color - they'll be automatically resized to 224x224
 
 The model will show the top 5 most likely categories with confidence scores.
-Link to github repo: [https://github.com/dhairyag/ImageNet1k_ResNet50](https://github.com/dhairyag/ImageNet1k_ResNet50)
+Link to github repo: [https://github.com/dhairyag/ImageNet1k_ResNet50](https://github.com/dhairyag/ImageNet1k_ResNet50) 
 """
 
 iface = gr.Interface(