Update app.py

app.py

@@ -169,7 +169,9 @@ def load_data():
     X_train_seq = [torch.tensor(seq) for seq in X_train_seq]
 
     # Padding the sequences correctly
-    X_train_pad = pad_sequence(X_train_seq, batch_first=True, padding_value=0,padding_side="left")
+    X_train_seq_reversed = [seq.flip(0) for seq in X_train_seq]
+    X_train_pad_reversed = pad_sequence(X_train_seq_reversed, batch_first=True, padding_value=0)
+    X_train_pad = X_train_pad_reversed.flip(1)
     vocab_size = len(tokenizer.get_vocab()) 
 
     return X_train_pad, texts, class_mapping, vocab_size