--- a
+++ b/classification.py
@@ -0,0 +1,15 @@
+# Preprocessing the dataset
+dataset_path = 'path/to/dataset'
+max_sequence_length = 1000
+train_sequences, test_sequences, train_labels, test_labels, label_mapping = preprocess_dataset(dataset_path, max_sequence_length)
+
+# Creating and training the CNN model
+cnn_model = create_cnn_model(train_sequences.shape, len(label_mapping))
+cnn_accuracy = train_and_evaluate_model(cnn_model, train_sequences, train_labels, test_sequences, test_labels)
+
+# Creating and training the RNN model
+rnn_model = create_rnn_model(train_sequences.shape, len(label_mapping))
+rnn_accuracy = train_and_evaluate_model(rnn_model, train_sequences, train_labels, test_sequences, test_labels)
+
+print(f"CNN Accuracy: {cnn_accuracy}")
+print(f"RNN Accuracy: {rnn_accuracy}")