'update model path cpu'

app.py

@@ -37,7 +37,7 @@ class LSTMModel(nn.Module):
 model = LSTMModel(VOCAB_SIZE, EMBEDDING_DIM, N_UNITS).to(device)
 
 
-checkpoint_path = 'checkpoint_epoch_99.pth'
+checkpoint_path = 'recipe_generator_LSTM.pth'
 checkpoint = torch.load(checkpoint_path)
 model.load_state_dict(checkpoint['model_state_dict'])
 print('Loaded model from checkpoint')