trying to make programmatic way to store sentiment analysis label dictionaries for each type

src/main.py

@@ -38,7 +38,8 @@ model_option = st.selectbox(
     (
         "cardiffnlp/twitter-roberta-base-sentiment",
         "finiteautomata/beto-sentiment-analysis",
-        "bhadresh-savani/distilbert-base-uncased-emotion"
+        "bhadresh-savani/distilbert-base-uncased-emotion",
+        "siebert/sentiment-roberta-large-english"
     ),
     on_change=model_change,
     key="model_name"
@@ -53,8 +54,10 @@ if submit:
         to_eval = placeholder
     else:
         to_eval = text_input.strip()
-    st.write("You entered: ", to_eval)
-    st.write("Using the {} NLP model".format(st.session_state.model_name))
+    st.write("You entered:")
+    st.markdown("> {}".format(to_eval))
+    st.write("Using the NLP model:")
+    st.markdown("> {}".format(st.session_state.model_name))
     result = st.session_state.model(to_eval)  
     label = result[0]['label']
     score = result[0]['score']