Update app.py

app.py

@@ -1392,7 +1392,7 @@ if page == "pome":
                             <div> This web application utilizes deep learning to classify kidney ultrasound images</br>
                             into four categories: Normal, Cyst, Tumor, and Stone Class.
                             Built with Streamlit and powered by </br>a TensorFlow transfer learning
-                            model based on <strong>VGG16</strong>
+                            model based on <strong>CNN</strong>
                             the app provides a simple and efficient way for users </br>
                             to upload kidney scans and receive instant predictions. The model analyzes the image
                             and classifies it based </br>on learned patterns, offering a confidence score for better interpretation.