example_usage.py

"""Load supermix-v74 and ask it a question.



    python example_usage.py "A body of mass 47 kg has an acceleration of 6 m/s^2. What is the force?"



The model answers arithmetic in the format it was trained on, so the question

is normalised first -- see the "Prompt format matters" section of the model

card. `prompt_normaliser` prints what it actually sent, and `answer_check`

independently re-derives the answer so a wrong reply is reported as wrong

rather than presented as fact.

"""

from __future__ import annotations

import sys
from pathlib import Path

HERE = Path(__file__).resolve().parent
sys.path.insert(0, str(HERE / "src"))

import answer_check  # noqa: E402
import prompt_normaliser  # noqa: E402
from train_mimomix_talk import generate_reply, load_talk_checkpoint  # noqa: E402


def main() -> int:
    question = " ".join(sys.argv[1:]) or "A body of mass 47 kg has an acceleration of 6 m/s^2. What is the force?"

    model, tokenizer, _ = load_talk_checkpoint(str(HERE / "supermix_v80.pt"))
    model.eval()

    rewritten = prompt_normaliser.normalise(question)
    if rewritten.changed:
        print(f"asked as : {rewritten.prompt}  ({rewritten.rule})")

    result = generate_reply(model, tokenizer, rewritten.prompt, max_new_tokens=64)
    reply = result["reply"] if isinstance(result, dict) else str(result)
    print(f"reply    : {reply}")

    verdict = answer_check.check(rewritten.prompt, reply)
    if verdict is None:
        print("check    : NOT CHECKED (not a question this can verify)")
    elif verdict.correct:
        print(f"check    : CORRECT ({verdict.expected})")
    else:
        print(f"check    : WRONG (answered {verdict.predicted}, expected {verdict.expected})")
    return 0


if __name__ == "__main__":
    raise SystemExit(main())