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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>
		
			
				
	
	
		
			53 lines
		
	
	
		
			1.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			53 lines
		
	
	
		
			1.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
from __future__ import annotations
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from abc import abstractmethod, ABC
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from pathlib import Path
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from typing import Any
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from ..config import get_cache_dir
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from ..schemas import ModelType
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class InferenceModel(ABC):
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    _model_type: ModelType
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    def __init__(
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        self,
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        model_name: str,
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        cache_dir: Path | None = None,
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    ):
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        self.model_name = model_name
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        self._cache_dir = (
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            cache_dir
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            if cache_dir is not None
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            else get_cache_dir(model_name, self.model_type)
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        )
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    @abstractmethod
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    def predict(self, inputs: Any) -> Any:
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        ...
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    @property
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    def model_type(self) -> ModelType:
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        return self._model_type
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    @property
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    def cache_dir(self) -> Path:
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        return self._cache_dir
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    @cache_dir.setter
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    def cache_dir(self, cache_dir: Path):
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        self._cache_dir = cache_dir
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    @classmethod
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    def from_model_type(
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        cls, model_type: ModelType, model_name, **model_kwargs
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    ) -> InferenceModel:
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        subclasses = {
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            subclass._model_type: subclass for subclass in cls.__subclasses__()
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        }
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        if model_type not in subclasses:
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            raise ValueError(f"Unsupported model type: {model_type}")
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        return subclasses[model_type](model_name, **model_kwargs)
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