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34201be74c
* using pydantic BaseSetting * ML API takes image file as input * keeping image in memory * reducing duplicate code * using bytes instead of UploadFile & other small code improvements * removed form-multipart, using HTTP body * format code --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
23 lines
610 B
Python
23 lines
610 B
Python
from pydantic import BaseSettings
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class Settings(BaseSettings):
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cache_folder: str = "/cache"
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classification_model: str = "microsoft/resnet-50"
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clip_image_model: str = "clip-ViT-B-32"
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clip_text_model: str = "clip-ViT-B-32"
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facial_recognition_model: str = "buffalo_l"
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min_tag_score: float = 0.9
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eager_startup: bool = True
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model_ttl: int = 300
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host: str = "0.0.0.0"
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port: int = 3003
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workers: int = 1
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min_face_score: float = 0.7
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class Config(BaseSettings.Config):
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env_prefix = 'MACHINE_LEARNING_'
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case_sensitive = False
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settings = Settings()
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