removing the download of series in the app.py

app.py

@@ -52,38 +52,40 @@ df_filtered_by_study = df_filtered_by_modality[df_filtered_by_modality["StudyIns
 series = df_filtered_by_study["SeriesInstanceUID"].unique()
 selected_series = st.selectbox("Select Series", series)
 
+print('selected_series: ' + str(selected_series))
 
-# Button to process IDC data
-if st.button("Process IDC data"):
-    # Fetch data from IDC based on selection
-    selection = index_df[
-        (index_df["SeriesInstanceUID"] == selected_series)
-    ]
 
-    series_instance_uids = selection["SeriesInstanceUID"].tolist()
+# # Button to process IDC data
+# if st.button("Process IDC data"):
+#     # Fetch data from IDC based on selection
+#     selection = index_df[
+#         (index_df["SeriesInstanceUID"] == selected_series)
+#     ]
 
-    #    with TemporaryDirectory() as temp_dir:
-    download_errors = []
-    #input_dir = os.path.join(temp_dir, "input_data")
-    input_dir=Path("input_data/")
-    if input_dir.exists():
-        shutil.rmtree(input_dir)
-    os.makedirs(input_dir, exist_ok=True)
+#     series_instance_uids = selection["SeriesInstanceUID"].tolist()
 
-    try:
-        client.download_from_selection(seriesInstanceUID=series_instance_uids, downloadDir=input_dir)
-    except Exception as e:
-        download_errors.append(f"Error downloading data: {str(e)}")
+#     #    with TemporaryDirectory() as temp_dir:
+#     download_errors = []
+#     #input_dir = os.path.join(temp_dir, "input_data")
+#     input_dir=Path("input_data/")
+#     if input_dir.exists():
+#         shutil.rmtree(input_dir)
+#     os.makedirs(input_dir, exist_ok=True)
 
-    if download_errors:
-        st.error("\n".join(download_errors))
-    else:
-        st.success("Data downloaded successfully.")
+#     try:
+#         client.download_from_selection(seriesInstanceUID=series_instance_uids, downloadDir=input_dir)
+#     except Exception as e:
+#         download_errors.append(f"Error downloading data: {str(e)}")
 
-    # Process downloaded DICOM data
-    dicom_files = [str(file) for file in input_dir.glob('**/*.dcm')]
-    # parquet_file = 'dcm2parquet_output.parquet'
-    # save_dicom_header_to_parquet(dicom_files, parquet_file)
+#     if download_errors:
+#         st.error("\n".join(download_errors))
+#     else:
+#         st.success("Data downloaded successfully.")
+
+#     # Process downloaded DICOM data
+#     dicom_files = [str(file) for file in input_dir.glob('**/*.dcm')]
+#     # parquet_file = 'dcm2parquet_output.parquet'
+#     # save_dicom_header_to_parquet(dicom_files, parquet_file)
 
 
 
@@ -96,7 +98,7 @@ if st.button("Process IDC data"):
     pm.execute_notebook(
             "DICOMScanClassification_user_demo.ipynb",
             'output.ipynb',
-            parameters = dict(SeriesInstanceUID=series_instance_uids)
+            parameters = dict(SeriesInstanceUID=selected_series)
     )
 
     with open('output.ipynb', "rb") as f: