Update app.py

app.py

@@ -83,8 +83,8 @@ def inference(input_img, num_gradcam_images=1, target_layer_number=-1, transpare
     else:
         return top_n_confidences, visualization, None
 
-title = "CIFAR10 trained on ResNet18 Model with GradCAM"
-description = "A simple Gradio interface to infer on ResNet model, and get GradCAM results"
+title = "CIFAR10 trained on ResNet18 Model using Pytorch Lightning with GradCAM"
+description = "A simple Gradio interface to infer on ResNet18 model using Pytorch Lightning, and get GradCAM results"
 examples = [["cat.jpg", 1, -1, 0.8, True, 3, 3],
             ["dog.jpg", 1, -1, 0.8, True, 3, 3],
             ["plane.jpg", 1, -1, 0.8, True, 3, 3],