Upload app.py

app.py

@@ -158,7 +158,7 @@ with open('input.txt', 'r', encoding='utf-8') as f:
 
 # Load the shakespeaere model
 shakespeare_model = BigramLanguageModel(shakespeare_text, n_embd).to(device)  # Initialize an instance of your model
-shakespeare_model.load_state_dict(torch.load('shakespeaere_language_model.pth', map_location=torch.device('cpu')))
+shakespeare_model.load_state_dict(torch.load('nano-gpt.pth', map_location=torch.device('cpu')))
 shakespeare_model.eval()  # Set the model to evaluation mode