Update pages/demo_type_text.py

pages/demo_type_text.py

@@ -13,16 +13,16 @@ os.getenv("HF_TOKEN")
 #    st.session_state[k] = v 
 
 #st.title("📘Map internal description to SBS codes V2.0")
-st.subheader("Select specific Chapter for quicker results")
-df_chapters = pd.read_csv("SBS_V2_0/Chapter_Index_Rows.csv") 
+#st.subheader("Select specific Chapter for quicker results")
+#df_chapters = pd.read_csv("SBS_V2_0/Chapter_Index_Rows.csv") 
 
-startrowindex_list = df_chapters["from_row_index"].tolist()
-endrowindex_list = df_chapters["to_row_index"].tolist()
-allchapters_rows_list = []
-for s, e in zip(startrowindex_list, endrowindex_list):
-    eachchapter_rows_list = list(range(s,e))
-    allchapters_rows_list.append(eachchapter_rows_list)
-df_chapters['range_of_rows'] = allchapters_rows_list 
+#startrowindex_list = df_chapters["from_row_index"].tolist()
+#endrowindex_list = df_chapters["to_row_index"].tolist()
+#allchapters_rows_list = []
+#for s, e in zip(startrowindex_list, endrowindex_list):
+#    eachchapter_rows_list = list(range(s,e))
+#    allchapters_rows_list.append(eachchapter_rows_list)
+#f_chapters['range_of_rows'] = allchapters_rows_list 
 
 def dataframe_with_selections(df_chapters: pd.DataFrame, init_value: bool = False) -> pd.DataFrame:
     df_with_selections = df_chapters.copy()
@@ -136,7 +136,7 @@ selected_rows_list = []
 #df_SBS = pd.read_csv("SBS_V2_0/Code_Table.csv", header=0, skip_blank_lines=False, skiprows = lambda x: x not in selected_rows_list)
 
 #df_SBS = pd.read_csv("SBS_V2_0/Code_Table.csv", index_col="SBS_Code", usecols=["Long_Description"]) # na_values=['NA']
-df_SBS = pd.read_csv("SBS_V2_0/Code_Table.csv", usecols=["SBS_Code_Hyphenated","Long_Description"]) 
+#df_SBS = pd.read_csv("SBS_V2_0/Code_Table.csv", usecols=["SBS_Code_Hyphenated","Long_Description"]) 
 from_row_index = 0 # Imaging services chapter start, adjust as needed
 to_row_index = 10080 # Imaging services chapter end, adjust as needed
 nrows = to_row_index - from_row_index + 1