Update app.py

app.py

@@ -28,7 +28,7 @@ st.write('')
 st.write('')
 
 
-with     st.form_submit_button(label="Submit", help=None, on_click=None, args=None, kwargs=None, type="secondary", disabled=False, use_container_width=False)):
+with st.form_submit_button(label="Submit", help=None, on_click=None, args=None, kwargs=None, type="secondary", disabled=False, use_container_width=False)):
     source = st.selectbox('Select the protein structure resource (1: PDB-SwissModel-Modbase, 2: AlphaFold)',[1,2])
     impute = st.selectbox('Imputation',[True, False])
     input_data = st.text_input('Enter SAV data points (Format Provided Below)', "P13637-T-613-M, Q9Y4W6-N-432-T",label_visibility=st.session_state.visibility,
@@ -38,24 +38,22 @@ with     st.form_submit_button(label="Submit", help=None, on_click=None, args=No
     
     
 
-
-#sys.path.append(path.abspath('../code/'))
-parser = argparse.ArgumentParser(description='ASCARIS')
-
-parser.add_argument('-s', '--source_option',
-                    help='Selection of input structure data.\n 1: PDB Structures (default), 2: AlphaFold Structures',
-                    default=1)
-parser.add_argument('-i', '--input_datapoint',
-                    help='Input file or query datapoint\n Option 1: Comma-separated list of idenfiers (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')
-
-parser.add_argument('-impute', '--imputation_state', default='True',
-                    help='Whether resulting feature vector should be imputed or not. Default True.')
-
-args = parser.parse_args()
-
-input_set = input_data
-mode = source
-impute = impute
+    parser = argparse.ArgumentParser(description='ASCARIS')
+    
+    parser.add_argument('-s', '--source_option',
+                        help='Selection of input structure data.\n 1: PDB Structures (default), 2: AlphaFold Structures',
+                        default=1)
+    parser.add_argument('-i', '--input_datapoint',
+                        help='Input file or query datapoint\n Option 1: Comma-separated list of idenfiers (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')
+    
+    parser.add_argument('-impute', '--imputation_state', default='True',
+                        help='Whether resulting feature vector should be imputed or not. Default True.')
+    
+    args = parser.parse_args()
+    
+    input_set = input_data
+    mode = source
+    impute = impute
 
 print('*****************************************')
 print('Feature vector generation is in progress. \nPlease check log file for updates..')
@@ -104,11 +102,14 @@ with st.spinner('In progress...This may take a while...'):
                         update_mode=GridUpdateMode.SELECTION_CHANGED, # or MODEL_CHANGED
                         custom_css={".ag-header-cell-label": {"justify-content": "center"}})
             st.success('Feature vector successfully created.')
+        else:
             
+            int_return = pd.DataFrame()
 
     except:
         pass
         selected_df = pd.DataFrame()
+        int_return = pd.DataFrame()
 
 def download_button(object_to_download, download_filename):