Update app.py

app.py

@@ -3,7 +3,6 @@ import sentencepiece
 import streamlit as st
 import pandas as pd
 import spacy
-nlp = spacy.load("en_core_web_sm")
 
 example_list = [
     
@@ -13,11 +12,10 @@ st.set_page_config(layout="wide")
 
 st.title("Vocabulary Categorizer")
 
-model_list = ['spacy/en_core_web_sm',
-             'xlm-roberta-large-finetuned-conll03-english']
+model_list = ['xlm-roberta-large-finetuned-conll03-english']
 
-st.sidebar.header("Select a vocabulary categorizer")
-model_checkpoint = st.sidebar.radio("", model_list)
+st.sidebar.header("Vocabulary categorizer")
+model_checkpoint = st.sidebar.radio("xlm-roberta-large-finetuned-conll03-english")
 
 st.sidebar.write("Which model highlights the most vocabulary words? Which model highlights the most accurately?")
 st.sidebar.write("")
@@ -29,8 +27,6 @@ if model_checkpoint == "xlm-roberta-large-finetuned-conll03-english":
     aggregation = st.sidebar.radio("", ('simple', 'none'))
     st.sidebar.write(xlm_agg_strategy_info)
     st.sidebar.write("")
-elif model_checkpoint == "spacy/en_core_web_sm":
-    aggregation = "none"
 
 st.subheader("Select Text Input Method")
 input_method = st.radio("", ('Select from Examples', 'Write or Paste New Text'))