updated spacy

categories/fluency.py

@@ -1,6 +1,6 @@
 import language_tool_python
 import numpy as np
-import spacy
+import en_core_web_sm
 import torch
 import wordfreq
 from transformers import AutoModelForMaskedLM, AutoTokenizer
@@ -18,8 +18,7 @@ model.eval()
 tokenizer = AutoTokenizer.from_pretrained(model_name)  # tokenizer
 
 # spacy model for parsing
-nlp = spacy.load("en_core_web_sm")
-
+nlp = en_core_web_sm.load()
 
 def __get_rarity(word: str, lang: str = "en") -> float:
     """