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Deploy DeepFake Detector API - 2026-03-07 09:12:00
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"""
Custom exceptions and error handling for the application.
"""
from typing import Any, Dict, Optional
class DeepFakeDetectorError(Exception):
"""Base exception for DeepFake Detector application."""
def __init__(
self,
message: str,
details: Optional[Dict[str, Any]] = None
):
self.message = message
self.details = details or {}
super().__init__(self.message)
class ModelNotLoadedError(DeepFakeDetectorError):
"""Raised when attempting to use a model that hasn't been loaded."""
pass
class ModelNotFoundError(DeepFakeDetectorError):
"""Raised when a requested model is not found in the registry."""
pass
class HuggingFaceDownloadError(DeepFakeDetectorError):
"""Raised when downloading from Hugging Face fails."""
pass
class ImageProcessingError(DeepFakeDetectorError):
"""Raised when image processing/decoding fails."""
pass
class InferenceError(DeepFakeDetectorError):
"""Raised when model inference fails."""
pass
class FusionError(DeepFakeDetectorError):
"""Raised when fusion prediction fails."""
pass
class ConfigurationError(DeepFakeDetectorError):
"""Raised when configuration is invalid or missing."""
pass