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| from __future__ import annotations | |
| from pydantic import BaseModel | |
| class PredictionResponse(BaseModel): | |
| label: str # "REAL" or "FAKE" | |
| confidence: float # probability of fake (0.0–1.0) | |
| blink_rate: float # detected blinks per second | |
| frame_scores: list[float] # per-sequence fake probability | |
| attention_map_url: str | None # URL to Grad-CAM image, or None | |
| class HealthResponse(BaseModel): | |
| status: str | |
| model_loaded: bool | |