Delete vrag/cli.py with huggingface_hub

vrag/cli.py

@@ -1,107 +0,0 @@
-"""vrag command line. Pipeline order: ingest -> transcribe -> segment -> embed -> evalset -> experiments."""
-
-import typer
-
-app = typer.Typer(no_args_is_help=True, add_completion=False)
-
-
-@app.command()
-def download(n: int = 15):
-    """Download the latest N channel uploads from YouTube (may be bot-blocked; prefer `ingest`)."""
-    from . import download as d
-    d.run(n)
-
-
-@app.command()
-def ingest():
-    """Ingest local files from sams-videos/ (transcode to 480p, match to YouTube uploads)."""
-    from . import ingest as i
-    i.run()
-
-
-@app.command()
-def transcribe(engine: str = typer.Option(None, help="gemma (default, needs vLLM) or whisper"), force: bool = False):
-    """Timestamped transcripts (creator captions if present, else Gemma 4 or Whisper)."""
-    from . import transcribe as t
-    from .config import ASR_ENGINE
-    t.run(engine or ASR_ENGINE, force=force)
-
-
-@app.command()
-def switch_transcripts(engine: str):
-    """Make ENGINE's transcripts active, keep segment boundaries, and re-embed the text + fused views."""
-    from . import embed as e
-    from . import segment as s
-    from . import transcribe as t
-    from .config import VIDEOS_DIR
-
-    for vdir in sorted(p for p in VIDEOS_DIR.iterdir() if (p / "video.mp4").exists()):
-        t.ensure_transcript(vdir, engine=engine, activate=True)
-    s.retext()
-    e.run(["text", "fused"], force=True)
-
-
-@app.command()
-def compare_transcripts(a: str = "whisper", b: str = "gemma"):
-    """Word-level disagreement (WER of B against A) per video."""
-    from . import transcribe as t
-    for r in t.compare((a, b)):
-        print(f"{r['wer']:.3f}  {r['words']}  {r['title']}")
-
-
-@app.command()
-def segment():
-    """Cut ~30s segments and extract clip/audio/keyframe media."""
-    from . import segment as s
-    s.run()
-
-
-@app.command()
-def embed(view: list[str] = typer.Option(None, help="Subset of views to (re)build"), force: bool = False):
-    """Embed every segment under every view with EmbeddingGemma 2."""
-    from . import embed as e
-    e.run(view, force=force)
-
-
-@app.command()
-def evalset(per_video: int = 8):
-    """Generate spoken + visual eval queries with Gemma 4 (needs serve/serve.sh running)."""
-    from . import evalset as ev
-    ev.run(per_video)
-
-
-@app.command()
-def experiments():
-    """Run the view x MRL-dim retrieval grid over the eval set."""
-    from . import experiments as ex
-    ex.run()
-
-
-@app.command()
-def build():
-    """ingest -> transcribe -> segment -> embed."""
-    ingest()
-    transcribe()
-    segment()
-    embed()
-
-
-@app.command()
-def ask(question: str, view: str = "fused", dim: int = 768, k: int = 4, audio: bool = False):
-    """Ask a question over the corpus from the terminal."""
-    from . import rag
-    res = rag.answer(question, view=view, dim=dim, k=k, use_audio=audio)
-    print(res["answer"])
-    for n, c in enumerate(res["clips"], 1):
-        print(f"[{n}] {c['title']} @ {rag.fmt_ts(c['start'])}  (score {c['score']:.3f})")
-
-
-@app.command()
-def api(host: str = "127.0.0.1", port: int = 8000, reload: bool = False):
-    """Serve the FastAPI backend for the web UI."""
-    import uvicorn
-    uvicorn.run("vrag.api:app", host=host, port=port, reload=reload)
-
-
-if __name__ == "__main__":
-    app()