diff --git a/g5505_file_reader.py b/g5505_file_reader.py
index ca99b80..1b78ae1 100644
--- a/g5505_file_reader.py
+++ b/g5505_file_reader.py
@@ -8,6 +8,8 @@ from igor2.binarywave import load as loadibw
 
 #import h5py
 import os
+import tempfile
+import shutil
 
 def read_xps_ibw_file_as_dict(filename):
 
@@ -39,14 +41,14 @@ def read_xps_ibw_file_as_dict(filename):
             if not key in exclude_list:
                 file_dict['attributes_dict'][key] = value
 
-    # TODO: talk to thorsten to see if there is an easier way to access the below attributes
+    # TODO: talk to Thorsten to see if there is an easier way to access the below attributes
     dimension_labels = file_obj['wave']['dimension_units'].decode("utf-8").split(']')
     file_dict['attributes_dict']['dimension_units'] = [item+']' for item in dimension_labels[0:len(dimension_labels)-1]]
     
 
     return file_dict
 
- 
+
 
 def main():
 
diff --git a/src/hdf5_lib.py b/src/hdf5_lib.py
index 563355a..2592a81 100644
--- a/src/hdf5_lib.py
+++ b/src/hdf5_lib.py
@@ -12,7 +12,7 @@ from plotly.subplots import make_subplots
 
 import g5505_file_reader
 import g5505_utils as utils
-import src.smog_chamber_file_reader as smog_chamber_file_reader
+import smog_chamber_file_reader
 
 
 def read_mtable_as_dataframe(filename):
@@ -472,8 +472,9 @@ def main_5505():
     file_dict = g5505_file_reader.read_xps_ibw_file_as_dict(inputfile_dir+'\\SES\\0069069_N1s_495eV.ibw')
     group_by_type = lambda x : utils.group_by_df_column(x,'filetype')
 
+    select_file_keywords=[]
     select_dir_keywords = ['NEXAFS', 'Notes', 'Photos', 'Pressure', 'RGA', 'SES']
-    create_hdf5_file_from_filesystem_path('test_sls_data.h5',inputfile_dir,select_dir_keywords,select_file_keywords=[])
+    create_hdf5_file_from_filesystem_path('test_sls_data.h5',inputfile_dir,select_dir_keywords,select_file_keywords)
     display_group_hierarchy_on_a_treemap('test_smog_chamber_v5.h5')
 
     #create_hdf5_file('test', inputfile_dir, 'Topdown', [group_by_type], extract_attrs_func = None)
@@ -489,8 +490,11 @@ def main_smog_chamber():
     display_group_hierarchy_on_a_treemap('test_smog_chamber_v5.h5')
 
 def main_mtable_h5_from_dataframe():
+
+    #import os
+    ROOT_DIR = os.path.abspath(os.curdir)
     # Read BeamTimeMetaData.h5, containing Thorsten's Matlab Table
-    input_data_df = read_mtable_as_dataframe('input_files\\BeamTimeMetaData.h5')
+    input_data_df = read_mtable_as_dataframe(os.path.join(ROOT_DIR,'input_files\\BeamTimeMetaData.h5'))
 
     # Preprocess Thorsten's input_data dataframe so that i can be used to create a newer .h5 file
     # under certain grouping specificiations.