Update app.py

app.py

@@ -113,29 +113,6 @@ runtext =st.text_area('Input Clinical Note here:', str(original_text2), height=3
 reference_text = original_text['Reference_text'].values
 
 
-
-## ===== to highlight text ===== 
-from IPython.core.display import HTML, display
-def visualize(title, sentence_list, best_sentences):
-  text = ''
-
-  #display(HTML(f'<h1>Summary - {title}</h1>'))
-  for sentence in sentence_list:
-    if sentence in best_sentences:
-      #text += ' ' + str(sentence).replace(sentence, f"<mark>{sentence}</mark>")
-      text += ' ' + str(sentence).replace(sentence, f"<span class='highlight yellow'>{sentence}</span>")
-    else:
-      text += ' ' + sentence
-      display(HTML(f""" {text} """))
-
-    output = ''   
-    best_sentences = []
-    for sentence in output:
-       #print(sentence)
-       best_sentences.append(str(sentence))
-    return text     
-# try this web solution https://discuss.streamlit.io/t/colored-boxes-around-sections-of-a-sentence/3201/2    
-
 #===== Pysummarization =====
 from pysummarization.nlpbase.auto_abstractor import AutoAbstractor
 from pysummarization.tokenizabledoc.simple_tokenizer import SimpleTokenizer
@@ -351,6 +328,6 @@ if st.button('Submit'):
 #    runtext2=runtext.split('.')
 #    reference_text2=reference_text.split('.')
     
-    st.write(visualize('of text', runtext ,reference_text))
+#    st.write(visualize('of text', runtext ,reference_text))
     
     st.text_area('Reference text', str(reference_text))