fatmacankara commited on
Commit
80cfda5
·
1 Parent(s): 0c1f4df

Update ASCARIS.py

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Files changed (1) hide show
  1. ASCARIS.py +4 -20
ASCARIS.py CHANGED
@@ -33,30 +33,13 @@ st.write('')
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  st.write('')
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  with st.form('mform', clear_on_submit=False):
 
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  #source = st.selectbox('Select the protein structure resource (1: PDB-SwissModel-Modbase, 2: AlphaFold)',[1,2])
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- source = 1
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  impute = st.selectbox('Imputation',[True, False])
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- input_data = st.text_input('Enter SAV data points (Example: Q9Y4W6-N-432-T)')
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-
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-
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-
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- parser = argparse.ArgumentParser(description='ASCARIS')
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-
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- #parser.add_argument('-s', '--source_option',
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- # help='Selection of input structure data.\n 1: PDB Structures (default), 2: AlphaFold Structures',
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- # default=1)
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- #parser.add_argument('-i', '--input_datapoint',
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- # help='Input file or query datapoint\n Option 1: Comma-separated list of identifiers (UniProt ID-wt residue-position-mutated residue (e.g. Q9Y4W6-N-432-T or Q9Y4W6-N-432-T, Q9Y4W6-N-432-T)) \n Option 2: Enter comma-separated file path')
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- #
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- #parser.add_argument('-impute', '--imputation_state', default='True',
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- # help='Whether resulting feature vector should be imputed or not. Default True.')
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-
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- #args = parser.parse_args()
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- input_set = input_data
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- mode = source
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- impute = impute
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  submitted = st.form_submit_button(label="Submit", help=None, on_click=None, args=None, kwargs=None, type="secondary", disabled=False, use_container_width=False)
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  print('*****************************************')
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  print('Feature vector generation is in progress. \nPlease check log file for updates..')
@@ -67,6 +50,7 @@ with st.form('mform', clear_on_submit=False):
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  selected_df = pd.DataFrame()
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  st.write('The online tool may be slow, especially while processing multiple SAVs, please consider using the local programmatic version at https://github.com/HUBioDataLab/ASCARIS/')
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  if submitted:
 
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  with st.spinner('In progress...This may take a while...'):
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  try:
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  if mode == 1:
 
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  st.write('')
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  with st.form('mform', clear_on_submit=False):
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+ st.write(' I am here currently.')
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  #source = st.selectbox('Select the protein structure resource (1: PDB-SwissModel-Modbase, 2: AlphaFold)',[1,2])
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+ mode = 1
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  impute = st.selectbox('Imputation',[True, False])
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+ input_set = st.text_input('Enter SAV data points (Example: Q9Y4W6-N-432-T)')
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  submitted = st.form_submit_button(label="Submit", help=None, on_click=None, args=None, kwargs=None, type="secondary", disabled=False, use_container_width=False)
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  print('*****************************************')
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  print('Feature vector generation is in progress. \nPlease check log file for updates..')
 
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  selected_df = pd.DataFrame()
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  st.write('The online tool may be slow, especially while processing multiple SAVs, please consider using the local programmatic version at https://github.com/HUBioDataLab/ASCARIS/')
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  if submitted:
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+ st.write('submitted.')
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  with st.spinner('In progress...This may take a while...'):
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  try:
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  if mode == 1: