Update app.py

app.py

@@ -379,7 +379,7 @@ fig, axes = plt.subplots(nrows=3, ncols=5, figsize=(15, 10),
 
 for i, ax in enumerate(axes.flat):
     img_path = test_df.Filepath.iloc[random_index[i]]
-    img_array = tf.keras.applications.efficientnet_v2.preprocess_input(get_img _array(img_path, size=(224, 224)))
+    img_array = tf.keras.applications.efficientnet_v2.preprocess_input(get_img_array(img_path, size=(224, 224)))
     heatmap = make_gradcam_heatmap(img_array, model, last_conv_layer_name="top_conv")
     cam_path = save_and_display_gradcam(img_path, heatmap)
     ax.imshow(plt.imread(cam_path))