Update README.md

README.md

@@ -1,19 +1,23 @@
 ---
 title: Vision Model Interpretability
-emoji: 🌍
+emoji: 🔍
 colorFrom: red
 colorTo: yellow
 sdk: gradio
-sdk_version: 6.9.0
+sdk_version: 5.49.1
 app_file: app.py
 pinned: false
 license: mit
-short_description: Interactive Grad-CAM visualization for CNN image classificat
+short_description: Interactive Grad-CAM visualization
 ---
 
-# Vision Model Interpretability with Grad-CAM - David Schecheter
+# Vision Model Interpretability with Grad-CAM  
+**David Schechter**
 
 Upload an image to:
-- classify it with ResNet-18
-- view the top-3 predictions
-- visualize a Grad-CAM heatmap showing which regions influenced the prediction
+
+- classify it using **ResNet-18**
+- view the **top-3 predictions**
+- visualize a **Grad-CAM heatmap** highlighting the image regions that influenced the model’s decision
+
+This demo explores **model interpretability in computer vision** by showing how gradients from a convolutional neural network can be used to explain predictions.