updated layer name

app.py

@@ -36,7 +36,7 @@ def inference(input_img, transparency = 0.5, target_layer_number = -1, num_top_c
     o = softmax(outputs.flatten())
     confidences = {classes[i]: float(o[i]) for i in range(10)}
     _, prediction = torch.max(outputs, 1)
-    target_layers = [model.layer2[target_layer_number]]
+    target_layers = [model.layer3_r3[target_layer_number]]
     cam = GradCAM(model=model, target_layers=target_layers, use_cuda=False)
     grayscale_cam = cam(input_tensor=input_img, targets=None)
     grayscale_cam = grayscale_cam[0, :]