Update app.py

app.py

@@ -103,26 +103,22 @@ runtext =st.text_area(inputNote, str(original_text2), height=300)
 
 def visualize (run_text,output):
     text =''
-    best_sentences = []
-    for sentence in output:
-       best_sentences.append(str(sentence))
-
-#    import en_core_web_sm
-#    from spacy.lang.en import English # updated
-#    nlp=spacy.load('en_core_web_sm')
-#    sentences=run_text.split('.')
-#    summary=output.split('.')
-
-    text = ''
-
-    #display(HTML(f'<h1>Summary - {title}</h1>'))
-    for sentence in run_text:
-        if sentence in best_sentences:
-            text += ' ' + str(sentence).replace(sentence, f"<mark>{sentence}</mark>")
-        else:
-            text += ' ' + sentence
+    splitruntext = [x for x in runtext.split('.')]
+    splitoutput = [x for x in output.split('.')]
+#    best_sentences = []
+#    for sentence in output:
+#       best_sentences.append(str(sentence))
+
+#    text = ''
+
+#    #display(HTML(f'<h1>Summary - {title}</h1>'))
+#    for sentence in run_text:
+#        if sentence in best_sentences:
+#            text += ' ' + str(sentence).replace(sentence, f"<mark>{sentence}</mark>")
+#        else:
+#            text += ' ' + sentence
     #    display(HTML(f""" {text} """))
-   
+    return splitoutput,splitruntext
     
 
 def run_model(input_text):    
@@ -174,9 +170,9 @@ with col2:
     
 col3, col4 = st.columns(2)
 with col3: 
-    #st.text_area(visualize (runtext,output))
-    splittext = [x for x in runtext.split('.')]
-    st.write(splittext)
+    st.text_area(visualize (runtext,output))
+
+    #st.write(splittext)
 with col4: 
     st.text_area('testing', str(reference_text))#,label_visibility="hidden")