Clean artifacts and update example pipeline

example/run_pipeline.py

@@ -0,0 +1,50 @@
+#!/usr/bin/env python3
+"""One-click pipeline: prepare -> train -> export -> evaluate -> plot loss."""
+
+import argparse
+import subprocess
+import sys
+from pathlib import Path
+
+
+def run(cmd):
+    print("running:", " ".join(cmd))
+    subprocess.run(cmd, check=True)
+
+
+def parse_args():
+    parser = argparse.ArgumentParser(description="Run full HAI pipeline.")
+    base_dir = Path(__file__).resolve().parent
+    parser.add_argument(
+        "--config",
+        default=str(base_dir / "config.json"),
+        help="Path to training config JSON",
+    )
+    parser.add_argument(
+        "--device",
+        default="auto",
+        help="cpu, cuda, or auto (used for export_samples.py)",
+    )
+    return parser.parse_args()
+
+
+def main():
+    args = parse_args()
+    base_dir = Path(__file__).resolve().parent
+    run([sys.executable, str(base_dir / "prepare_data.py")])
+    run([sys.executable, str(base_dir / "train.py"), "--config", args.config])
+    run(
+        [
+            sys.executable,
+            str(base_dir / "export_samples.py"),
+            "--include-time",
+            "--device",
+            args.device,
+        ]
+    )
+    run([sys.executable, str(base_dir / "evaluate_generated.py")])
+    run([sys.executable, str(base_dir / "plot_loss.py")])
+
+
+if __name__ == "__main__":
+    main()