Update app.py

app.py

@@ -12,8 +12,8 @@ examples =[
 ['https://i.imgur.com/dFeN6bs.jpg', 'A black dog stands on a <mask>, green fields behind him.'],
 ]
 device = "cuda" if torch.cuda.is_available() else "cpu"
-# model, img_transform, tokenizer, post_processor, plot_results = torch.hub.load('Jiayi-Pan/RefCloze_Pub', 'flickr_base_model')
-model, img_transform, tokenizer, post_processor, plot_results = torch.hub.load('.', 'flickr_base_model', source='local')
+model, img_transform, tokenizer, post_processor, plot_results = torch.hub.load('Jiayi-Pan/RefCloze_Pub', 'flickr_base_model')
+# model, img_transform, tokenizer, post_processor, plot_results = torch.hub.load('.', 'flickr_base_model', source='local')
 model = model.to(device)
 
 def plot_inference(img, caption):