Update app.py

app.py

@@ -25,7 +25,7 @@ def highlight_diff(sent, sent_main):
     new_toks = []
     for i, (tok, tok_main) in enumerate(zip(tokens, tokens_main)):
         if tok != tok_main:
-            new_toks.append(f'\textcolor\{red\}\{**{tok}**\}')
+            new_toks.append('\textcolor\{red\}\{**{}**\}'.format(tok))
         else:
             new_toks.append(tok)
     
@@ -115,7 +115,7 @@ default_value = "write your review here (in lower case - vocab reasons)"
 sentence = st.text_area("Text", default_value, height = 275)
 beam_size = st.sidebar.slider("Beam size", value = 3, min_value = 1, max_value=20, step=1)
 max_steps = st.sidebar.slider("Max steps", value = 3, min_value = 1, max_value=10, step=1)
-# prettyfy = st.sidebar.slider("Higlight changes", value = 0, min_value = 0, max_value=1, step=1)
+prettyfy = st.sidebar.slider("Higlight changes", value = 0, min_value = 0, max_value=1, step=1)
 
-# beam, used_poss = get_best_hypotheses(sentence, beam_size=beam_size, max_steps=max_steps, pretty_output=bool(prettyfy))
-beam, used_poss = get_best_hypotheses(sentence, beam_size=beam_size, max_steps=max_steps, pretty_output=False)
+beam, used_poss = get_best_hypotheses(sentence, beam_size=beam_size, max_steps=max_steps, pretty_output=bool(prettyfy))
+# beam, used_poss = get_best_hypotheses(sentence, beam_size=beam_size, max_steps=max_steps, pretty_output=False)