Paper2Lab / src /paper2lab /inference /refinement.py
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Fix local refinement mode for HF Space
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from __future__ import annotations
from typing import Any, Dict, Literal
from paper2lab.inference.nemotron_refiner import refine_with_nemotron
RefinementMode = Literal["none", "local", "nemotron"]
def refine_optional(
paper_card: Dict[str, Any],
mode: RefinementMode = "none",
return_comparison: bool = True,
) -> Dict[str, Any]:
"""
none/local: keep local rule-based extraction.
nemotron: refine the candidate with Nemotron.
"""
mode = (mode or "none").lower().strip()
if mode in {"none", "local"}:
return {
"status": "skipped",
"mode": mode,
"before_refinement": paper_card,
"after_refinement": paper_card,
"diff_summary": {
"changed_fields": [],
"added_fields": [],
"removed_fields": [],
},
}
if mode == "nemotron":
pack = paper_card.get("llm_evidence_pack")
if not pack:
return {
"status": "error",
"mode": "nemotron",
"error": "Missing llm_evidence_pack in paper_card.",
"before_refinement": paper_card,
"after_refinement": paper_card,
"diff_summary": {
"changed_fields": [],
"added_fields": [],
"removed_fields": [],
},
}
try:
return refine_with_nemotron(
llm_evidence_pack=pack,
return_comparison=return_comparison,
)
except Exception as exc:
return {
"status": "error",
"mode": "nemotron",
"error": str(exc),
"before_refinement": paper_card,
"after_refinement": paper_card,
"diff_summary": {
"changed_fields": [],
"added_fields": [],
"removed_fields": [],
},
}
return {
"status": "error",
"mode": mode,
"error": f"Unsupported refinement mode: {mode}",
"before_refinement": paper_card,
"after_refinement": paper_card,
"diff_summary": {
"changed_fields": [],
"added_fields": [],
"removed_fields": [],
},
}