Update app.py

app.py

@@ -54,6 +54,7 @@ def inference(input_img, transparency=0.5, target_layer_number=-1, grad_cam_opti
     confidences = {classes[i]: float(o[i]) for i in range(10)}
     confidences = dict(list(confidences.items())[:top_classes])
     _, prediction = torch.max(outputs, 1)
+    print('Prediction ',prediction)
     target_layers = [model.layer2[target_layer_number]]
     cam = GradCAM(model=model, target_layers=target_layers)
     grayscale_cam = cam(input_tensor=input_img, targets=None)