Update pages/type_text.py

pages/type_text.py

@@ -60,7 +60,7 @@ 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=["Chaper"], usecols=["from_row_index", "to_row_index"])
+dfallchaps = pd.read_csv("SBS/SBS_V2_Chapter_Index_Rows.csv", index_col=0, usecols=["from_row_index", "to_row_index"])
 st.write("UUUUUUUUUUU: ", dfallchaps)
 #df_SBS = pd.read_csv("SBS/SBS_V2_Code_Table.csv", index_col="SBS_Code", usecols=["Long_Description"]) # na_values=['NA']
 #df_SBS = pd.read_csv("SBS/SBS_V2_Code_Table.csv", usecols=["SBS_Code_Hyphenated","Long_Description"])