Update app.py

app.py

@@ -72,13 +72,13 @@ model_0 = NumberClassifier(input_shape=1, # number of color channels (3 for RGB)
                   hidden_units=10, 
                   output_shape=10).to(device)
 
-model_0.load_state_dict(torch.load("/home/arpan/torchenv_learning/models/pytorch_num_classifier_final_model_with_EMNIST.pth"))
+model_0.load_state_dict(torch.load("pytorch_num_classifier_final_model_with_EMNIST.pth"))
 
 
 title = "Number Classifier Minimal"
 description = "An Image feature extractor computer vision model to classify images of handwritten digits."
 article = "Created at [09. PyTorch Model Deployment](https://www.learnpytorch.io/09_pytorch_model_deployment/)."
-example_list = [[str(filepath)] for filepath in random.sample(glob("/home/arpan/torchenv_learning/showcase_dataset/*"), k=25)]
+example_list = [[str(filepath)] for filepath in random.sample(glob("examples/*"), k=25)]
 example_list