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- """
- @author: luojunhui
- """
- from typing import List
- from pydantic import BaseModel
- from similarities import BertSimilarity
- import numpy as np
- import torch
- import logging
- class NLPServer(object):
- """
- nlp_server
- """
- def __init__(self, params):
- """
- :param params:
- """
- self.model = None
- self.function = None
- self.text_02 = None
- self.text_01 = None
- self.params = params
- def check_params(self):
- """
- 参数校验
- :return:
- """
- try:
- self.text_01 = self.params['text_01']
- self.text_02 = self.params['text_02']
- self.function = self.params['function']
- self.model = self.params['model']
- return None
- except Exception as e:
- error_info = {
- "error": "params error",
- "detail": str(e)
- }
- return error_info
- def choose_function(self):
- """
- :return:
- """
- match self.function:
- case "similarities":
- return
- case "similarities_cross":
- return
- case "similarities_cross_max":
- return
- case "similarities_cross_avg":
- return
- case "similarities_cross_mean":
- return
- def base_similarity(self):
- """
- base similarity
- :return:
- """
- try:
- res = {
- 'score_list': []
- }
- return res
- except Exception as e:
- return {"error": str(e)}
- def deal(self):
- """
- deal function
- :return:
- """
- return self.check_params if self.check_params else self.choose_function
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