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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>
57 lines
934 B
Python
57 lines
934 B
Python
from pydantic import BaseModel
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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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class TextModelRequest(BaseModel):
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text: str
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class TextResponse(BaseModel):
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__root__: str
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class MessageResponse(BaseModel):
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message: str
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class TagResponse(BaseModel):
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__root__: list[str]
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class Embedding(BaseModel):
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__root__: list[float]
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class EmbeddingResponse(BaseModel):
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__root__: Embedding
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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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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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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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class FaceResponse(BaseModel):
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__root__: list[Face]
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