Update app.py

app.py

@@ -15,8 +15,9 @@ os.system("wget https://github.com/liuxiaoyuyuyu/vanGogh-and-Other-Artist/blob/m
 model = models.mobilenet_v2()
 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.load_state_dict(torch.load('model_weights_mobilenet_v2_valp1trainp2.pth'))
+model.load_state_dict(torch.load('model_weights_mobilenet_v2_valp1trainp2.pth',map_location=device))
 
 #torch.hub.download_url_to_file("https://github.com/pytorch/hub/raw/master/images/dog.jpg", "dog.jpg")
 
@@ -35,6 +36,8 @@ def inference(input_image):
     if torch.cuda.is_available():
         input_batch = input_batch.to('cuda')
         model.to('cuda')
+    else:
+        model.to('cpu')
 
     with torch.no_grad():
         output = model(input_batch)