Update pages/type_text.py

pages/type_text.py

@@ -58,7 +58,7 @@ INTdesc_embedding = model.encode(INTdesc_input)
 
 # Semantic search, Compute cosine similarity between all pairs of SBS descriptions
 
-dfallchaps = pd.read_csv("SBS/SBS_V2_Chapter_Index_Rows.csv", index_col=0, usecols=["from_row_index", "to_row_index"])
+dfallchaps = pd.read_csv("SBS/SBS_V2_Chapter_Index_Rows.csv", usecols=["Chapter", "from_row_index", "to_row_index"])
 st.dataframe(dfallchaps)
 selected_chapters_dict = dfallchaps.to_dict(orient='index')
 st.write("VVVVVVVVVVV: ", selected_chapters_dict)