Upload streamlit_app.py

src/streamlit_app.py

@@ -4,8 +4,10 @@ from gensim.models import Word2Vec, FastText, Doc2Vec
 from gensim.utils import simple_preprocess
 from sklearn.metrics.pairwise import cosine_similarity
 from sklearn.decomposition import PCA
+import numba
+numba.config.CACHE_DIR = None
+numba.config.DISABLE_CACHING = True
 import os
-os.environ["NUMBA_DISABLE_CACHING"] = "1"
 import umap
 import pandas as pd
 import numpy as np