context len added

app.py

@@ -1,5 +1,5 @@
 import streamlit as st
-from tiger import tiger_predict, GUIDE_LEN, NUCLEOTIDE_TOKENS
+from tiger import tiger_predict, TARGET_LEN, NUCLEOTIDE_TOKENS
 
 
 @st.cache
@@ -15,9 +15,9 @@ st.session_state['userInput'] = st.text_input('Enter a target transcript (or sub
                                               placeholder='Upper or lower case')
 
 # input is too short
-if len(st.session_state['userInput']) < GUIDE_LEN:
+if len(st.session_state['userInput']) < TARGET_LEN:
     transcript_len = len(st.session_state['userInput'])
-    st.write('Transcript length ({:d}) must be at least {:d} bases.'.format(transcript_len, GUIDE_LEN))
+    st.write('Transcript length ({:d}) must be at least {:d} bases.'.format(transcript_len, TARGET_LEN))
 
 # valid input
 elif all([True if nt.upper() in NUCLEOTIDE_TOKENS.keys() else False for nt in st.session_state['userInput']]):