results clear on rerun

app.py

@@ -92,63 +92,61 @@ if __name__ == '__main__':
         st.session_state.off_target = None
 
     # title and documentation
-    with st.container():
-        st.title('TIGER Cas13 Efficacy Prediction')
+    st.title('TIGER Cas13 Efficacy Prediction')
 
     # mode selection
-    with st.container():
-        col1, col2 = st.columns([0.65, 0.35])
-        with col1:
-            st.radio(
-                label='What do you want to predict?',
-                options=tuple(tiger.RUN_MODES.values()),
-                key='mode',
-                on_change=mode_change_callback,
-                disabled=st.session_state.transcripts is not None,
-            )
-        with col2:
-            st.checkbox(
-                label='Find off-target effects (slow)',
-                key='check_off_targets',
-                disabled=st.session_state.disable_off_target_checkbox or st.session_state.transcripts is not None
-            )
+    col1, col2 = st.columns([0.65, 0.35])
+    with col1:
+        st.radio(
+            label='What do you want to predict?',
+            options=tuple(tiger.RUN_MODES.values()),
+            key='mode',
+            on_change=mode_change_callback,
+            disabled=st.session_state.transcripts is not None,
+        )
+    with col2:
+        st.checkbox(
+            label='Find off-target effects (slow)',
+            key='check_off_targets',
+            disabled=st.session_state.disable_off_target_checkbox or st.session_state.transcripts is not None
+        )
 
     # transcript entry
-    with st.container():
-        st.selectbox(
-            label='How would you like to provide transcript(s) of interest?',
-            options=ENTRY_METHODS.values(),
-            key='entry_method',
+    st.selectbox(
+        label='How would you like to provide transcript(s) of interest?',
+        options=ENTRY_METHODS.values(),
+        key='entry_method',
+        disabled=st.session_state.transcripts is not None
+    )
+    if st.session_state.entry_method == ENTRY_METHODS['manual']:
+        st.text_input(
+            label='Enter a target transcript:',
+            key='manual_entry',
+            placeholder='Upper or lower case',
+            disabled=st.session_state.transcripts is not None
+        )
+    elif st.session_state.entry_method == ENTRY_METHODS['fasta']:
+        st.file_uploader(
+            label='Upload a fasta file:',
+            key='fasta_entry',
             disabled=st.session_state.transcripts is not None
         )
-        if st.session_state.entry_method == ENTRY_METHODS['manual']:
-            st.text_input(
-                label='Enter a target transcript:',
-                key='manual_entry',
-                placeholder='Upper or lower case',
-                disabled=st.session_state.transcripts is not None
-            )
-        elif st.session_state.entry_method == ENTRY_METHODS['fasta']:
-            st.file_uploader(
-                label='Upload a fasta file:',
-                key='fasta_entry',
-                disabled=st.session_state.transcripts is not None
-            )
-
-    # 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 st.container():
+    # let's go!
+    st.button(label='Get predictions!', on_click=initiate_run, disabled=st.session_state.transcripts is not None)
+    progress = st.empty()
 
-        # input error
-        if st.session_state.input_error is not None:
-            st.error(st.session_state.input_error, icon="🚨")
+    # input error
+    error = st.empty()
+    if st.session_state.input_error is not None:
+        error.error(st.session_state.input_error, icon="🚨")
+    else:
+        error.empty()
 
-        # on-target results
-        if st.session_state.on_target is not None:
+    # on-target results
+    on_target_results = st.empty()
+    if st.session_state.on_target is not None:
+        with on_target_results.container():
             st.write('On-target predictions:', st.session_state.on_target)
             st.download_button(
                 label='Download on-target predictions',
@@ -156,9 +154,13 @@ if __name__ == '__main__':
                 file_name='on_target.csv',
                 mime='text/csv'
             )
+    else:
+        on_target_results.empty()
 
-        # off-target results
-        if st.session_state.off_target is not None:
+    # off-target results
+    off_target_results = st.empty()
+    if st.session_state.off_target is not None:
+        with off_target_results.container():
             if len(st.session_state.off_target) > 0:
                 st.write('Off-target predictions:', st.session_state.off_target)
                 st.download_button(
@@ -169,6 +171,8 @@ if __name__ == '__main__':
                 )
             else:
                 st.write('We did not find any off-target effects!')
+    else:
+        off_target_results.empty()
 
     # keep trying to run model until we clear inputs (streamlit UI changes can induce race-condition reruns)
     if st.session_state.transcripts is not None: