Update pages/type_text.py

pages/type_text.py

@@ -54,7 +54,7 @@ def load_model():
     return model
 model = load_model() 
 
-selected_chapters_dict = {0: [], 1:[], 2: 
+#selected_chapters_dict = {0: [], 1:[], 2:[] }
 
 INTdesc_embedding = model.encode(INTdesc_input)
 
@@ -62,15 +62,15 @@ INTdesc_embedding = model.encode(INTdesc_input)
 
 #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"]) 
-#from_row_index = 7725 # Imaging services chapter start, adjust as needed
-#to_row_index = 8239 # Imaging services chapter end, adjust as needed
+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))
 
 
-selected_rows_to_read = 
-df_SBS = pd.read_csv("SBS/SBS_V2_Code_Table.csv", skiprows = lambda x: x not in specific_rows)
-#df_SBS = pd.read_csv("SBS/SBS_V2_Code_Table.csv", header=0, skip_blank_lines=False, skiprows=skiprows, nrows=nrows)
+#selected_rows_to_read = 
+#df_SBS = pd.read_csv("SBS/SBS_V2_Code_Table.csv", skiprows = lambda x: x not in specific_rows)
+df_SBS = pd.read_csv("SBS/SBS_V2_Code_Table.csv", header=0, skip_blank_lines=False, skiprows=skiprows, nrows=nrows)
 #st.write(df_SBS.head(5))
 
 SBScorpus = df_SBS['Long_Description'].values.tolist()