'''
conda activate rag
pip install gensim[complete]
pip install jieba
'''

from Util.EmbeddingUtil import *
from Config.Config import *

# 在加载模型后添加自定义词典
jieba.load_userdict("./Dict/custom_dict.txt")  # 文件中包含: 花呗

sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

for sentence in sentences:
    x = text_to_embedding(sentence)

# 词汇数+向量维度
with open(WORD2VEC_MODEL_PATH, 'r', encoding='utf-8') as f:
    print("词汇数和向量维度：" + f.readline())  # 第一行为词汇数和向量维度，在这里不予展示