dsadsaa

app.py

@@ -20,21 +20,8 @@ st.image(image, caption='Welcome to KNU Summarizer')
 
 
 
-''' 
-T5: 너무 오래걸린다.
-BART: 60 sec 정도
-Pegasus: 
-
-'''
-
-
 plms =["facebook/bart-large-cnn", "google/pegasus-xsum", "t5-small" ]
 
-st.write("Information")
-st.write("__Inputs__: Text your input article!!")
-st.write("__Outputs__: Summarizing output text by State-of-the-art NLP summarization Models! ")
-
-
 
 def load_plms(model_name):
     #model_name = "google/pegasus-xsum"
@@ -77,6 +64,13 @@ with st.spinner(' (3) / (3) Loading Pretraining Classifier'):
  
 
 
+
+st.write("Information")
+st.write("__Inputs__: Text your input article!!")
+st.write("__Outputs__: Summarizing output text by State-of-the-art NLP summarization Models! ")
+
+
+
 with st.form(key="input_area"):
     display_text = ARTICLE + "\n\n" 
     text_input = st.text_area("Input any text you want to summaryize & classify here (keep in mind very long text will take a while to process):", display_text)