Update app.py

app.py

@@ -9,11 +9,18 @@ from sklearn.model_selection import train_test_split
 from sklearn.linear_model import LogisticRegression
 from sklearn import metrics
 
+
+### ----------------------------- ###
+###        interface setup        ###
+### ----------------------------- ###
+
+col1, col2 = st.columns(2)
+
 with open('styles.css') as f:
   st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True)
   
 with open('info.md') as f:
-  st.markdown(f.read())
+  col1.markdown(f.read())
 
 
 ### ------------------------------ ###
@@ -134,13 +141,13 @@ for colname in data.columns:
   # otherwise, just use a number input
   if colname in cat_value_dicts:
     radio_options = list(cat_value_dicts[colname].keys())
-    inputls.append(st.selectbox(colname, radio_options))
+    inputls.append(col2.selectbox(colname, radio_options))
   else:
     # add numerical input
-    inputls.append(st.number_imput(colname))
+    inputls.append(col2.number_imput(colname))
   
 # generate gradio interface
-if st.button("Submit"):
+if col2.button("Submit"):
   prediction = general_predictor(inputls)
   
-  st.text(f"Your recommendation: {prediction}")
+  col2.text(f"Your recommendation: {prediction}")