Update app.py

app.py

@@ -7,7 +7,7 @@ import torch.nn as nn
 
 
 os.system("wget https://github.com/liuxiaoyuyuyu/vanGogh-and-Other-Artist/blob/main/artist_classes.txt")
-os.system("wget https://github.com/liuxiaoyuyuyu/vanGogh-and-Other-Artist/blob/main/model_weights_mobilenet_v2_valp1trainp2.pth")
+#os.system("wget https://github.com/liuxiaoyuyuyu/vanGogh-and-Other-Artist/blob/main/model_weights_mobilenet_v2_valp1trainp2.pth")
 
 #model = torch.hub.load('pytorch/vision:v0.9.0', 'mobilenet_v2', pretrained=False)
 #checkpoint = 'https://github.com/liuxiaoyuyuyu/vanGogh-and-Other-Artist/blob/main/model_weights_mobilenet_v2_valp1trainp2.pth'
@@ -15,8 +15,10 @@ 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))
+#model.load_state_dict(torch.load('model_weights_mobilenet_v2_valp1trainp2.pth'))
 
 #torch.hub.download_url_to_file("https://github.com/pytorch/hub/raw/master/images/dog.jpg", "dog.jpg")