Update app.py

app.py

@@ -400,7 +400,7 @@ with tab5:
 
     if binary32_file:
         df_32 = pd.read_csv(binary32_file, header=None)
-        df_32.columns = [str(h) for h in mutation_site_headers_actual_3614]  # assume ascending
+        df_32.columns = [str(h) for h in mutation_site_headers_actual_3614]
     else:
         df_32 = st.data_editor(
             pd.DataFrame(columns=[str(h) for h in mutation_site_headers_actual_3614]),
@@ -417,25 +417,27 @@ with tab5:
         decoded_reordered = binary_labels_to_string(reordered_df_32.values.flatten().astype(int).tolist())
         st.subheader("Decoded String (Reordered 4402→3244, 4882→4455)")
         st.write(decoded_reordered)
+        st.download_button("Download Concatenated Output", decoded_reordered, "decoded_32bit_string_reordered.txt", key="download_txt_tab5_32")
 
-        df_ascending = df_32[[str(h) for h in mutation_site_headers_actual_3614 if str(h) in df_32.columns]]
+        df_32_asc = df_32[[str(h) for h in mutation_site_headers_actual_3614 if str(h) in df_32.columns]]
         st.subheader("Binary Labels (Ascending 3244→4882)")
-        st.dataframe(df_ascending.style.applymap(lambda v: "background-color: lightgreen" if v == 1 else "background-color: lightcoral"))
-        st.download_button("Download Ascending CSV", df_ascending.to_csv(index=False), "decoded_binary_32_ascending.csv", key="download_csv_tab5_32_ascend")
+        st.dataframe(df_32_asc.style.applymap(lambda v: "background-color: lightgreen" if v == 1 else "background-color: lightcoral"))
+        st.download_button("Download Ascending CSV", df_32_asc.to_csv(index=False), "decoded_binary_32_ascending.csv", key="download_csv_tab5_32_ascend")
 
-        decoded_asc = binary_labels_to_string(df_ascending.values.flatten().astype(int).tolist())
-        st.subheader("Decoded String (Ascending 3244→4882)")
+        decoded_asc = binary_labels_to_string(df_32_asc.values.flatten().astype(int).tolist())
+        st.subheader("Decoded String (Flattened 32-bit Ascending)")
         st.write(decoded_asc)
+        st.download_button("Download Concatenated Output", decoded_asc, "decoded_32bit_string_ascending.txt", key="download_txt_tab5_32_asc")
 
         # === Robot Preparation Script from 32-bit Binary ===
         st.subheader("Robot Preparation Script from 32-bit Binary")
-        robot_template_32 = pd.read_csv("/home/user/app/Robot.csv", skiprows=3)
+        robot_template_32 = pd.read_csv("/home/user/app/Robot2.csv", skiprows=3)
         robot_template_32.columns = ['Labware', 'Source', 'Labware_2', 'Destination', 'Volume', 'Tool', 'Name']
 
         df_32_robot = df_32.copy()
         df_32_robot.insert(0, 'Sample', range(1, len(df_32_robot)+1))
         df_32_robot['# donors'] = df_32_robot.iloc[:, 1:].astype(int).sum(axis=1)
-        df_32_robot['volume donors (µl)'] = 32 / df_32_robot['# donors']
+        df_32_robot['volume donors (µl)'] = 64 / df_32_robot['# donors']
 
         robot_script_32 = []
         source_wells_32 = robot_template_32['Source'].unique().tolist()