add notebook_mining.py

kaggle/notebook_mining.py

@@ -0,0 +1,35 @@
+"""Kaggle notebook body: mine prompt voices from DownFlow/ASMR.
+
+Reuses the setup stages from notebook_eval so the env is identical. Then runs
+voice_mining.py, which harvests 20 artists x 6 clips, re-transcribes each crop,
+and ranks them by the teacher's CER with that clip as the prompt.
+
+  N_ARTISTS=20 N_PER_ARTIST=6 STAGE=harvest   # cheap, CPU only
+  N_ARTISTS=20 N_PER_ARTIST=6 STAGE=probe     # GPU, needs candidates.json
+"""
+import os
+import subprocess
+import sys
+from pathlib import Path
+
+from notebook_eval import (BUNDLE, MODEL, REPO, ROOT, WEIGHTS, pull,
+                           stage_deps, stage_repo)
+
+BUNDLE_REPO = "idefinity/webfm-eval"
+
+
+def main() -> None:
+    stage_repo()
+    stage_deps()
+    subprocess.run("pip install -q datasets soundfile", shell=True, check=False)
+    pull(WEIGHTS, MODEL)
+    pull(BUNDLE_REPO, BUNDLE, repo_type="dataset")
+
+    env = dict(os.environ, WORK_ROOT=str(ROOT), STAGE=os.environ.get("STAGE", "all"))
+    rc = subprocess.run([sys.executable, str(BUNDLE / "kaggle/voice_mining.py")], env=env).returncode
+    print(f"voice_mining exit={rc}")
+    print("artifacts: voices/candidates.json, voices/probe.json, voices/best.json")
+
+
+if __name__ == "__main__":
+    main()