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	* basic refactor and styling * removed batching * module entrypoint * removed unused imports * model superclass, model cache now in app state * fixed cache dir and enforced abstract method --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
		
			
				
	
	
		
			67 lines
		
	
	
		
			1.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			67 lines
		
	
	
		
			1.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| from enum import Enum
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| 
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| from pydantic import BaseModel
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| 
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| 
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| def to_lower_camel(string: str) -> str:
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|     tokens = [
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|         token.capitalize() if i > 0 else token
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|         for i, token in enumerate(string.split("_"))
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|     ]
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|     return "".join(tokens)
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| 
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| 
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| class TextModelRequest(BaseModel):
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|     text: str
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| 
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| 
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| class TextResponse(BaseModel):
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|     __root__: str
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| 
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| 
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| class MessageResponse(BaseModel):
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|     message: str
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| 
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| 
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| class TagResponse(BaseModel):
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|     __root__: list[str]
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| 
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| 
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| class Embedding(BaseModel):
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|     __root__: list[float]
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| 
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| 
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| class EmbeddingResponse(BaseModel):
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|     __root__: Embedding
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| 
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| 
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| class BoundingBox(BaseModel):
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|     x1: int
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|     y1: int
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|     x2: int
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|     y2: int
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| 
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| 
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| class Face(BaseModel):
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|     image_width: int
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|     image_height: int
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|     bounding_box: BoundingBox
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|     score: float
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|     embedding: Embedding
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| 
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|     class Config:
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|         alias_generator = to_lower_camel
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|         allow_population_by_field_name = True
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| 
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| 
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| class FaceResponse(BaseModel):
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|     __root__: list[Face]
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| 
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| 
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| class ModelType(Enum):
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|     IMAGE_CLASSIFICATION = "image-classification"
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|     CLIP = "clip"
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|     CLIP_VISION = "clip-vision"
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|     CLIP_TEXT = "clip-text"
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|     FACIAL_RECOGNITION = "facial-recognition"
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