Spaces:
Sleeping
Sleeping
File size: 2,379 Bytes
71276a4 4126ef5 71276a4 4126ef5 71276a4 4126ef5 71276a4 4126ef5 71276a4 4126ef5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | 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": [],
},
} |