handler.py

from typing import Dict, List, Any
from InstructorEmbedding import INSTRUCTOR
import torch

class EndpointHandler():
    def __init__(self, path=""):
        model = INSTRUCTOR(path)
        self.model = model
        if torch.cuda.is_available():
            self.device = torch.device("cuda")
            self.model.to(self.device)
        else:
            self.device = torch.device("cpu")
    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
        """
       data args:
            inputs (:obj: `str`)
            date (:obj: `str`)
      Return:
            A :obj:`list` | `dict`: will be serialized and returned
        """
        # get inputs
        instruction = data.pop("instruction",data)
        text = data.pop("text", data)
        inputs = [[s, instruction] for s in text]
        if (self.device):
            inputs = torch.tensor(inputs).to(self.device)  # Move inputs to the GPU
        embeddings = self.model.encode(inputs)
        return embeddings.tolist()