Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -410,7 +410,7 @@ with tab5:
|
|
| 410 |
st.dataframe(reordered_df_32.style.applymap(lambda v: "background-color: lightgreen" if v == 1 else "background-color: lightcoral"))
|
| 411 |
st.download_button("Download Reordered CSV", reordered_df_32.to_csv(index=False), "decoded_binary_32_reordered.csv", key="download_csv_tab5_32_reordered")
|
| 412 |
|
| 413 |
-
|
| 414 |
st.subheader("Decoded String (Reordered 4402→3244, 4882→4455)")
|
| 415 |
st.write(decoded_reordered)
|
| 416 |
|
|
@@ -440,9 +440,6 @@ with tab5:
|
|
| 440 |
st.subheader("Binary Labels (Reordered 4402→3244, 4882→4455)")
|
| 441 |
st.dataframe(reordered_df_31.style.applymap(lambda v: "background-color: lightgreen" if v == 1 else "background-color: lightcoral"))
|
| 442 |
st.download_button("Download Reordered CSV", reordered_df_31.to_csv(index=False), "decoded_binary_31_reordered.csv", key="download_csv_tab5_31_reordered")
|
| 443 |
-
|
| 444 |
-
st.write("HI")
|
| 445 |
-
st.write(row.dropna().astype(int).tolist()[:31])
|
| 446 |
|
| 447 |
decoded_rows_reordered = [
|
| 448 |
binary_labels_to_string(row.dropna().astype(int).tolist()[:31])
|
|
|
|
| 410 |
st.dataframe(reordered_df_32.style.applymap(lambda v: "background-color: lightgreen" if v == 1 else "background-color: lightcoral"))
|
| 411 |
st.download_button("Download Reordered CSV", reordered_df_32.to_csv(index=False), "decoded_binary_32_reordered.csv", key="download_csv_tab5_32_reordered")
|
| 412 |
|
| 413 |
+
decoded_flat_reordered = binary_labels_to_string(reordered_df_31.values.flatten().astype(int).tolist())
|
| 414 |
st.subheader("Decoded String (Reordered 4402→3244, 4882→4455)")
|
| 415 |
st.write(decoded_reordered)
|
| 416 |
|
|
|
|
| 440 |
st.subheader("Binary Labels (Reordered 4402→3244, 4882→4455)")
|
| 441 |
st.dataframe(reordered_df_31.style.applymap(lambda v: "background-color: lightgreen" if v == 1 else "background-color: lightcoral"))
|
| 442 |
st.download_button("Download Reordered CSV", reordered_df_31.to_csv(index=False), "decoded_binary_31_reordered.csv", key="download_csv_tab5_31_reordered")
|
|
|
|
|
|
|
|
|
|
| 443 |
|
| 444 |
decoded_rows_reordered = [
|
| 445 |
binary_labels_to_string(row.dropna().astype(int).tolist()[:31])
|