Update ASCARIS.py

ASCARIS.py

@@ -37,7 +37,7 @@ with st.form('mform', clear_on_submit=False):
     source = st.selectbox('Select the protein structure resource (1: PDB-SwissModel-Modbase, 2: AlphaFold)',[1,2])
     #source = 1
     impute = st.selectbox('Missing value imputation (mostly for the cases where the corresponding annotation does not exist for the protein of interest)',[True, False])
-    input_data = st.text_input('Enter SAV data points (format: UniProt/Swiss-Prot human protein accession – wild type a.a. – position – mutated a.a.)\nExample: P04217-E-20-A or O43556-I-40-A,P57737-W-372-A')
+    input_data = st.text_input('Enter SAV data points (format: "UniProt/Swiss-Prot human protein accession" – "symbol of the wild type a.a." – "position on the sequence" – "symbol of the mutated a.a.").   Example: P04217-E-20-A or O43556-I-40-A,P57737-W-372-A')
             
 
 
@@ -65,7 +65,7 @@ with st.form('mform', clear_on_submit=False):
     mode = int(source)
     
 selected_df = pd.DataFrame()
-st.write('The online tool may be slow, especially while processing multiple SAVs, please consider using the local programmatic version at https://github.com/HUBioDataLab/ASCARIS/')
+st.write('The online tool may be slow, especially while processing multiple SAVs. To address this, please consider using the programmatic version at https://github.com/HUBioDataLab/ASCARIS/')
 if submitted:
     with st.spinner('In progress...This may take a while...'):
         try:
@@ -82,15 +82,15 @@ if submitted:
             pass
 
     if selected_df is None:
-        st.success('Feature vector failed. Check log file.')
+        st.success('Feature vector failed. Check the log file.')
 
     else:
         if len(selected_df) != 0 :
             st.write(selected_df)
-            st.success('Feature vector successfully created.')
+            st.success('Feature vector is successfully created.')
             csv = convert_df(selected_df)
     
             st.download_button("Press to Download the Feature Vector", csv,f"ASCARIS_SAV_rep_{input_set}.csv","text/csv",key='download-csv')
 
         else:
-            st.success('Feature vector failed. Check log file.')
+            st.success('Feature vector failed. Check the log file.')