Update streamlit_app.py_2024_02_23-SB_3

streamlit_app.py

@@ -68,8 +68,9 @@ def display_button():
     if display_instructions == 'Show Instructions':
         st.markdown("""
          #### This app can process both Mint and Maven peaklist datasets.\n
-         #####    1) A table with the concentrations of standard samples (metadata) is required. Upload by clicking the button on the left. Follow the link to find a standards concentrations file template.\n
-         #####    2) Next, upload the peaklist data file from Mint or Maven.  You may upload the full results or dense peak max data file generated from Mint. You do not have to remove or re-arrange any columns generated by these programs before uploading. Follow the links to find peaklist file templates.
+         #####    1) A table with the concentrations of standard samples (metadata) is required. Upload by clicking the button on the left. Follow the link to find standards concentrations file templates for external or internal standard data.\n
+         #####       Dowload the tutorial below for a complete explanation on how to upload internal standard data in the correct format. \n
+         #####    2) Next, upload the peaklist data file from Mint or Maven for external standards or the internal standards peaklist data file.  You may upload the full results or dense peak max data file generated from Mint. You do not have to remove or re-arrange any columns generated by these programs before uploading. Follow the links to find peaklist file templates.
          ######     The standards concentrations table should contain the file names of standards as column names.
          ######     The first column of the standards concentrations file corresponds to the Compound ID or peak labels for the metabolites in the standards.
          ######     Please make sure that the file names for standards and compound names in the standards concentrations file and peaklist data file are the same.