Upload 1_Classification.py

pages/1_Classification.py

@@ -86,11 +86,11 @@ if uploaded_file:
                 model = load_model(path)
                 predictions = model.predict(img_array, verbose=0)[0]
 
-                top5_indices = np.argsort(predictions)[-5:][::-1]
+                top10_indices = np.argsort(predictions)[-10:][::-1]
 
-                st.markdown(f"### {model_name} - Top 5 Predictions")
+                st.markdown(f"### {model_name} - Top 10 Predictions")
 
-                for idx in top5_indices:
+                for idx in top10_indices:
                     class_name = CLASS_NAMES[idx]
                     confidence = predictions[idx]
                     st.write(f"{class_name} — {confidence:.3f}")