immich/machine-learning/app/config.py

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from pydantic import BaseSettings
class Settings(BaseSettings):
cache_folder: str = "/cache"
classification_model: str = "microsoft/resnet-50"
clip_image_model: str = "clip-ViT-B-32"
clip_text_model: str = "clip-ViT-B-32"
facial_recognition_model: str = "buffalo_l"
min_tag_score: float = 0.9
eager_startup: bool = True
model_ttl: int = 300
host: str = "0.0.0.0"
port: int = 3003
workers: int = 1
min_face_score: float = 0.7
class Config(BaseSettings.Config):
env_prefix = 'MACHINE_LEARNING_'
case_sensitive = False
settings = Settings()