cleanup

app.py

@@ -7,13 +7,6 @@ ENTRY_METHODS = dict(
     fasta="Fasta file upload (supports multiple transcripts if they have unique ID's)"
 )
 
-# containers
-DOCUMENTATION = st.container()
-MODE_SELECTION = st.container()
-TRANSCRIPT_ENTRY = st.container()
-RUNTIME = st.container()
-RESULTS = st.container()
-
 
 @st.cache_data
 def convert_df(df):
@@ -99,11 +92,11 @@ if __name__ == '__main__':
         st.session_state.off_target = None
 
     # title and documentation
-    with DOCUMENTATION:
+    with st.container():
         st.title('TIGER Cas13 Efficacy Prediction')
 
     # mode selection
-    with MODE_SELECTION:
+    with st.container():
         col1, col2 = st.columns([0.65, 0.35])
         with col1:
             st.radio(
@@ -121,7 +114,7 @@ if __name__ == '__main__':
             )
 
     # transcript entry
-    with TRANSCRIPT_ENTRY:
+    with st.container():
         st.selectbox(
             label='How would you like to provide transcript(s) of interest?',
             options=ENTRY_METHODS.values(),
@@ -143,12 +136,12 @@ if __name__ == '__main__':
             )
 
     # runtime
-    with RUNTIME:
+    with st.container():
         st.button(label='Get predictions!', on_click=initiate_run, disabled=st.session_state.transcripts is not None)
         progress = st.empty()
 
     # results
-    with RESULTS:
+    with st.container():
 
         # input error
         if st.session_state.input_error is not None: