Parse data and label files from CLI arguments

src/main.py

@@ -0,0 +1,27 @@
+from argparse import ArgumentParser
+from time import time
+
+from model import run
+
+
+def parse_arguments():
+    parser = ArgumentParser()
+    parser.add_argument(
+        "data_file", help="FASTQ file containing the sequences with errors"
+    )
+    parser.add_argument(
+        "label_file", help="FASTQ file containing the sequences without errors"
+    )
+    return parser.parse_args()
+
+
+def main():
+    args = parse_arguments()
+    start_time = time()
+    run(data_file=args.data_file, label_file=args.label_file)
+    end_time = time()
+    print(f"Elapsed time: {end_time - start_time}")
+
+
+if __name__ == "__main__":
+    main()

src/model.py

@@ -75,7 +75,3 @@ def run(data_file, label_file, seed_value=42) -> None:
     model.fit(train_data, epochs=hyperparams.epochs, validation_data=eval_data)
     print("Training complete. Obtaining the model's metrics...")
     show_metrics(model, eval_data, test_data)
-
-
-if __name__ == "__main__":
-    run(data_file="data/curesim-HVR.fastq", label_file="data/HVR.fastq")