Update app.py

app.py

@@ -15,16 +15,16 @@ model = models.efficientnet_b0()
 num_ftrs = model.classifier[1].in_features
 model.classifier[1] = nn.Linear(num_ftrs, 6)
 device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
-model = model.to(device)
+#model = model.to(device)
 model.load_state_dict(torch.load('model_weights_EfficientNetB0_final.pth',map_location=device))
 
 
-model = models.vgg16()
-num_ftrs = model.classifier[6].in_features
-model.classifier[6] = nn.Linear(num_ftrs, 6)
-device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
+#model = models.vgg16()
+#num_ftrs = model.classifier[6].in_features
+#model.classifier[6] = nn.Linear(num_ftrs, 6)
+#device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
 #model = model.to(device)
-model.load_state_dict(torch.load('VGG16_weights_May28.pth',map_location=device))
+#model.load_state_dict(torch.load('VGG16_weights_May28.pth',map_location=device))
 #torch.hub.download_url_to_file("https://github.com/pytorch/hub/raw/master/images/dog.jpg", "dog.jpg")