Spaces:
Running
Running
| from typing import Any | |
| from pydantic import BaseModel, Field | |
| class AnalyzeResponse(BaseModel): | |
| score: float = Field(ge=0.0, le=1.0) | |
| verdict: str | |
| heatmap_b64: str | |
| overlay_b64: str | |
| model_version: str | |
| elapsed_ms: int | |
| structure_score: float | None = Field(default=None, ge=0.0, le=1.0) | |
| context_score: float | None = Field(default=None, ge=0.0, le=1.0) | |
| detail_score: float | None = Field(default=None, ge=0.0, le=1.0) | |
| source: str | None = None | |
| threshold: float | None = None | |
| reason: str | None = None | |
| model_scores: list[dict[str, Any]] = Field(default_factory=list) | |
| provenance: dict[str, Any] | None = None | |
| ensemble: dict[str, Any] | None = None | |
| class VersionResponse(BaseModel): | |
| model_version: str | |
| model_path: str | |
| class HealthResponse(BaseModel): | |
| status: str | |