cleanup

app.py

@@ -11,17 +11,21 @@ def convert_df(df):
 # title and instructions
 st.title('TIGER Cas13 Efficacy Prediction')
 st.session_state['userInput'] = ''
-st.session_state['userInput'] = st.text_input('Enter target transcript (or substring):')
-
+st.session_state['userInput'] = st.text_input('Enter a target transcript (or substring thereof):',
+                                              placeholder='Upper or lower case')
 
+# input is too short
 if len(st.session_state['userInput']) < GUIDE_LEN:
     st.write('Transcript length must be >= 23 bases. It is {:d} chars'.format(len(st.session_state['userInput'])))
-    st.write("")
+    st.write('')
+
+# valid input
 elif all([True if nt.upper() in NUCLEOTIDE_TOKENS.keys() else False for nt in st.session_state['userInput']]):
-    st.write('This is your sequence', st.session_state['userInput'])
     predictions = tiger_predict(st.session_state['userInput'])
     st.write('Model predictions: ', predictions)
     csv = convert_df(predictions)
     st.download_button(label='Download CSV file', data=csv, file_name='tiger_predictions.csv', mime='text/csv')
+
+# invalid input
 else:
-    st.write('only ACTG is allowed')
+    st.write('Nucleotides other than ACGT detected!')