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| from pydantic import BaseModel, Field | |
| from typing import List | |
| class PredictionEntry(BaseModel): | |
| model: str = Field(..., description="Name of the model used for prediction") | |
| error: str | None = Field(None, description="Error message if prediction failed") | |
| predicted_class: int = Field(..., description="Predicted class index") | |
| confidence: float = Field(..., ge=-100.0, le=1.0, description="Prediction confidence (0-1)") | |
| class ImagePredictionResponse(BaseModel): | |
| predictions: List[PredictionEntry] = Field(..., description="List of predictions with model, class, and confidence") | |
| class TextPredictionRequest(BaseModel): | |
| text: str = Field(..., example="This is a sample text to classify") | |
| class TextPredictionResponse(BaseModel): | |
| predicted_class: str = Field(..., description="Predicted label: 'AI' or 'Human'") | |
| confidence_ai: float = Field(..., ge=-100.0, le=1.0, description="Confidence score for AI (0-1)") | |
| confidence_human: float = Field(..., ge=-100.0, le=1.0, description="Confidence score for Human (0-1)") |