Update app.py

app.py

@@ -16,10 +16,6 @@ tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
 FILT_GROUPS = ["CARDINAL", "TIME", "DATE", "PERCENT", "MONEY", "QUANTITY", "ORDINAL"]
 POS = ["NOUN", "PROPN", "VERB"]
 
-nlp = spacy.load("en_core_web_sm")
-nlp.add_pipe("textrank", last=True, config={"pos_kept": POS, "token_lookback": 3})
-all_stopwords = nlp.Defaults.stop_words
-
 #streamlit stuff
 tags = st.text_input("Input tags separated by commas")
 text = st.text_input("Input text to classify")