Update app.py

app.py

@@ -67,7 +67,7 @@ class MemoryEfficientNN(nn.Module):
 class MemoryEfficientDataset(IterableDataset):
     def __init__(self, X, y, batch_size):
         self.X = X
-        self.y = torch.LongTensor(y)  # Convert labels to long tensors
+        self.y = torch.LongTensor(y.unsqueeze(1))  # Convert labels to long tensors and add a new dimension
         self.batch_size = batch_size
 
     def __iter__(self):
@@ -75,7 +75,6 @@ class MemoryEfficientDataset(IterableDataset):
             X_batch = self.X[i:i+self.batch_size].toarray()
             y_batch = self.y[i:i+self.batch_size]
             yield torch.FloatTensor(X_batch), y_batch
-
 # Train Memory-Efficient Neural Network
 X_train, X_test, y_train, y_test = train_test_split(contexts_encoded, emotions_target, test_size=0.2, random_state=42)
 input_size = X_train.shape[1]