Update app.py

app.py

@@ -2,11 +2,11 @@ import streamlit as st
 from transformers import pipeline
 
 @st.cache(allow_output_mutation=True)
-#def load_summarizer():
-summarizer = pipeline("summarization", model="google/bigbird-pegasus-large-bigpatent")
-#return model
+def load_summarizer():
+     summarizer = pipeline("summarization", model="google/bigbird-pegasus-large-bigpatent")
+     return summarizer
 
-#summarizer = load_summarizer()
+summarize = load_summarizer()
 st.title("Patent Text Summarizer")
 sentence = st.text_area('Please paste your Patent Text :', height=300)
 button = st.button("Summarize")
@@ -17,7 +17,7 @@ button = st.button("Summarize")
 with st.spinner("Generating Patent Summary.."):
     if button and sentence:
         #chunks = generate_chunks(sentence)
-        res = summarizer(sentence,
+        res = summarize(sentence,
                          max_length=500, 
                          min_length=100,
                          truncation=True,