Use small spacy seems to work

app.py

@@ -43,9 +43,7 @@ def get_sentence_embedding_model():
 @st.experimental_singleton
 def get_spacy():
     #nlp = spacy.load('en_core_web_lg')
-    print("START")
-    nlp = en_core_web_lg.load()
-    print("END")
+    nlp = en_core_web_sm.load()
     return nlp
 
 
@@ -304,8 +302,8 @@ currently selected article.""")
 sentence_embedding_model = get_sentence_embedding_model()
 # tagger = get_flair_tagger()
 ner_model = get_transformer_pipeline()
-#nlp = get_spacy()
-nlp = en_core_web_sm.load()
+nlp = get_spacy()
+#nlp = en_core_web_sm.load()
 
 # GENERATING SUMMARIES PART
 st.header("Generating summaries")