Update HF Jobs training script

scripts/hf_jobs_train_syllabus.py

@@ -22,7 +22,6 @@ from __future__ import annotations
 
 import os
 import subprocess
-import sys
 from pathlib import Path
 
 from huggingface_hub import HfApi, hf_hub_download
@@ -44,6 +43,11 @@ def run(cmd: list[str], *, cwd: Path | None = None) -> None:
     subprocess.run(cmd, check=True, cwd=cwd)
 
 
+def uv_run(script_args: list[str], *, cwd: Path) -> None:
+    """Run a repo script with project deps (HF Jobs UV image has no pip module)."""
+    run(["uv", "run", *script_args], cwd=cwd)
+
+
 def _require_hub_token() -> str:
     token = os.environ.get("HF_TOKEN", "").strip()
     if not token or token in ("$HF_TOKEN", "${HF_TOKEN}"):
@@ -67,7 +71,7 @@ def main() -> None:
     if WORK.exists():
         run(["rm", "-rf", str(WORK)])
     run(["git", "clone", "--depth", "1", PIPELINE_GIT, str(WORK)])
-    run([sys.executable, "-m", "pip", "install", "-q", "-e", ".[train]"], cwd=WORK)
+    run(["uv", "pip", "install", "-e", ".[train]"], cwd=WORK)
 
     data_dir = WORK / "data" / "finetune"
     data_dir.mkdir(parents=True, exist_ok=True)
@@ -83,9 +87,8 @@ def main() -> None:
     train_path = data_dir / "train.jsonl"
     valid_path = data_dir / "valid.jsonl"
 
-    run(
+    uv_run(
         [
-            sys.executable,
             "validate_training_readiness.py",
             "--train-jsonl",
             str(train_path),
@@ -97,9 +100,8 @@ def main() -> None:
     )
 
     out_dir = WORK / "artifacts" / "hf_syllabus_extractor"
-    run(
+    uv_run(
         [
-            sys.executable,
             "train_hf_structured_extractor.py",
             "--train-jsonl",
             str(train_path),