Update app.py

app.py

@@ -16,7 +16,7 @@ effnetb2 , effnetb2_transforms = create_effnetb2_model(num_classes=3)
 
 # load and save weights
 
-effnetb2.load_state_dict(torch.load(os.path.join("effnetb2.pth"),map_location=torch.device('cpu')))
+effnetb2.load_state_dict(torch.load("effnetb2.pth",map_location=torch.device('cpu')))
 
 #effnetb2.load_state_dict(torch.load("effnetb2.pth",map_location=torch.device('cpu')))
 
@@ -66,4 +66,4 @@ demo = gr.Interface(fn=predict, # mapping function from input to output
                     article=article)
 
 # Launch the demo!
-demo.launch()
+demo.launch(debug=True)