Polish the About section

.streamlit/config.toml

@@ -312,7 +312,7 @@ maxUploadSize = 2
 
 # The preset Streamlit theme that your custom theme inherits from.
 # One of "light" or "dark".
-# base =
+base = "light"
 
 # Primary accent color for interactive elements.
 # primaryColor =

app.py

@@ -5,12 +5,18 @@ from io import StringIO
 import joblib
 import numpy as np
 import pandas as pd
+
 # page set up
 import streamlit as st
 from b3clf.descriptor_padel import compute_descriptors
 from b3clf.geometry_opt import geometry_optimize
-from b3clf.utils import (get_descriptors, predict_permeability,
-                         scale_descriptors, select_descriptors)
+from b3clf.utils import (
+    get_descriptors,
+    predict_permeability,
+    scale_descriptors,
+    select_descriptors,
+)
+
 # from PIL import Image
 from streamlit_extras.let_it_rain import rain
 from streamlit_ketcher import st_ketcher
@@ -129,8 +135,9 @@ with info_column:
     # fmt: off
     st.markdown(
         """
-        `B3clf` is a Python package for predicting the blood-brain barrier (BBB) permeability of small molecules using imbalanced learning. It supports decision tree, XGBoost, kNN, logistical regression and 5 resampling strategies (SMOTE, Borderline SMOTE, k-means SMOTE and ADASYN). The workflow of `B3clf` is summarized as below. The Source code and more details are available at https://github.com/theochem/B3clf."""
+        `B3clf` is a Python package for predicting the blood-brain barrier (BBB) permeability of small molecules using imbalanced learning. It supports decision tree, XGBoost, kNN, logistical regression and 5 resampling strategies (SMOTE, Borderline SMOTE, k-means SMOTE and ADASYN). The workflow of `B3clf` is summarized as below. The Source code and more details are available at https://github.com/theochem/B3clf. This project is supported by Digital Research Alliance of Canada (originally known as Compute Canada) and NSERC. This project is maintained by QC-Dev comminity. For further information and inquiries please contact us at [email protected]."""
     )
+    st.text(" \n")
     # text_body = '''
     # `B3clf` is a Python package for predicting the blood-brain barrier (BBB) permeability of small molecules using imbalanced learning. It supports decision tree, XGBoost, kNN, logistical regression and 5 resampling strategies (SMOTE, Borderline SMOTE, k-means SMOTE and ADASYN). The workflow of `B3clf` is summarized as below. The Source code and more details are available at https://github.com/theochem/B3clf.
     # '''