Update pages/type_text.py

pages/type_text.py

@@ -14,7 +14,6 @@ for k, v in st.session_state.items():
 selected_chapters_floatlist = list(st.session_state.items())[0][1]
 selected_chapters_intlist = [int(i) for i in selected_chapters_floatlist]
 st.write("SELECTED CHAPTERS: ", selected_chapters_intlist)
-st.write("SELECTED CHAPTERS FROM PAGE 1: ", selected_chapters_list)
 
 def get_device_map() -> str:
     return 'cuda' if torch.cuda.is_available() else 'cpu'
@@ -63,10 +62,10 @@ INTdesc_embedding = model.encode(INTdesc_input)
 
 #df_SBS = pd.read_csv("SBS_V2_Table.csv", index_col="SBS_Code", usecols=["Long_Description"]) # na_values=['NA']
 #df_SBS = pd.read_csv("SBS_V2_Table.csv", usecols=["SBS_Code_Hyphenated","Long_Description"]) 
-from_line = 7725 # Imaging services chapter start, adjust as needed
-to_line = 8239 # Imaging services chapter end, adjust as needed
-nrows = to_line - from_line + 1
-skiprows = list(range(1,from_line - 1))
+from_row_index = 7725 # Imaging services chapter start, adjust as needed
+to_row_index = 8239 # Imaging services chapter end, adjust as needed
+nrows = to_row_index - from_row_index + 1
+skiprows = list(range(1,from_row_index - 1))
 df_SBS = pd.read_csv("SBS_V2_Table.csv", header=0, skip_blank_lines=False, skiprows=skiprows, nrows=nrows)
 #st.write(df_SBS.head(5))