'fix path'

app.py

@@ -36,19 +36,19 @@ class LSTMModel(nn.Module):
 model = LSTMModel(VOCAB_SIZE, EMBEDDING_DIM, N_UNITS).to(device)
 
 
-checkpoint_path = 'RecipeGenerator/checkpoint_epoch_99.pth'
+checkpoint_path = 'checkpoint_epoch_99.pth'
 checkpoint = torch.load(checkpoint_path)
 model.load_state_dict(checkpoint['model_state_dict'])
 print('Loaded model from checkpoint')
 
 def load_vocab(directory):
-    file_path = os.path.join(directory, 'RecipeGenerator/vocab.pkl')
+    file_path = os.path.join(directory, 'vocab.pkl')
     with open(file_path, 'rb') as input:
         vocab = pickle.load(input)
     print(f"Vocabulary loaded from {file_path}")
     return vocab
 
-vocab = load_vocab('RecipeGenerator/vocab.pkl')
+vocab = load_vocab('vocab.pkl')