Update app.py

app.py

@@ -392,7 +392,7 @@ with tab4:
         st.write(decoded_string)
 
 # Tab 5: Binary → String
-with tab5:
+with tab5: 
     st.header("Decode Binary Labels to String")
 
     # ========== 32-BIT DECODING ==========
@@ -410,7 +410,7 @@ with tab5:
         st.dataframe(reordered_df_32.style.applymap(lambda v: "background-color: lightgreen" if v == 1 else "background-color: lightcoral"))
         st.download_button("Download Reordered CSV", reordered_df_32.to_csv(index=False), "decoded_binary_32_reordered.csv", key="download_csv_tab5_32_reordered")
 
-        decoded_flat_reordered = binary_labels_to_string(reordered_df_31.values.flatten().astype(int).tolist())
+        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)
 
@@ -440,15 +440,12 @@ with tab5:
         st.subheader("Binary Labels (Reordered 4402→3244, 4882→4455)")
         st.dataframe(reordered_df_31.style.applymap(lambda v: "background-color: lightgreen" if v == 1 else "background-color: lightcoral"))
         st.download_button("Download Reordered CSV", reordered_df_31.to_csv(index=False), "decoded_binary_31_reordered.csv", key="download_csv_tab5_31_reordered")
-        
-        decoded_rows_reordered = [
-            binary_labels_to_string(row.dropna().astype(int).tolist()[:31])
-            for _, row in reordered_df_31.iterrows()
-        ]
-        full_decoded_reordered = "".join(decoded_rows_reordered)
-        st.subheader("Decoded String from 31-bit Groups (Reordered 4402→3244, 4882→4455)")
-        st.write(full_decoded_reordered)
-        st.download_button("Download Concatenated Output", full_decoded_reordered, "decoded_31bit_string_reordered.txt", key="download_csv_tab5_31")
+
+        # Flattened decoding for reordered
+        decoded_flat_reordered = binary_labels_to_string(reordered_df_31.values.flatten().astype(int).tolist())
+        st.subheader("Decoded String (Flattened 31-bit Reordered)")
+        st.write(decoded_flat_reordered)
+        st.download_button("Download Concatenated Output", decoded_flat_reordered, "decoded_31bit_string_reordered.txt", key="download_csv_tab5_31")
 
         # Ascending: 3244 → 4882
         df_31_asc = df_31[[str(h) for h in mutation_site_headers_actual if str(h) in df_31.columns]]
@@ -456,12 +453,9 @@ with tab5:
         st.dataframe(df_31_asc.style.applymap(lambda v: "background-color: lightgreen" if v == 1 else "background-color: lightcoral"))
         st.download_button("Download Ascending CSV", df_31_asc.to_csv(index=False), "decoded_binary_31_ascending.csv", key="download_csv_tab5_31_ascend")
 
-        decoded_rows_asc = [
-            binary_labels_to_string(row.dropna().astype(int).tolist()[:31])
-            for _, row in df_31_asc.iterrows()
-        ]
-        full_decoded_asc = "".join(decoded_rows_asc)
-        st.subheader("Decoded String from 31-bit Groups (Ascending 3244→4882)")
-        st.write(full_decoded_asc)
-        st.download_button("Download Concatenated Output", full_decoded_asc, "decoded_31bit_string_ascending.txt", key="download_csv_tab5_31_asc")
+        # Flattened decoding for ascending
+        decoded_flat_asc = binary_labels_to_string(df_31_asc.values.flatten().astype(int).tolist())
+        st.subheader("Decoded String (Flattened 31-bit Ascending)")
+        st.write(decoded_flat_asc)
+        st.download_button("Download Concatenated Output", decoded_flat_asc, "decoded_31bit_string_ascending.txt", key="download_csv_tab5_31_asc")