merge

streamlit_app_LDA.py

@@ -17,8 +17,8 @@ from MIND_utils import df_to_self_states_json, element_short_desc_map
 st.set_page_config(layout="wide")
 st.title("Prototypical Self-States via Topic Modeling")
 
-lda_document_is = st.radio("A 'Document' in the topic model will correspond to a:", ("self-state", "segment"))
 st.header("Model Parameters")
+lda_document_is = st.radio("A 'Document' in the topic model will correspond to a:", ("self-state", "segment"))
 num_topics = st.slider("Number of Topics", min_value=2, max_value=20, value=5)
 num_passes = st.slider("Number of Passes", min_value=5, max_value=50, value=10)
 seed_value = st.number_input("Random Seed", value=42)