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app.py

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+import streamlit as st
+import pandas as pd
+#import torch
+from transformers import pipeline
+
+summarizer = pipeline("summarization", model="google/bigbird-pegasus-large-bigpatent"
+
+def summary():
+    # st.title("DOCUMENT SUMMARIZER")
+    html_temp = """
+    <div style ="background-color:cyan;padding:13px">
+    <h1 style ="color:black;text-align:center;">PATENT SUMMARIZER</h1>
+    </div>
+    """
+    st.markdown(html_temp, unsafe_allow_html = True)
+    my_file=st.text_area("Paste Document content", placeholder="Paste here",height=60)
+    result =""
+    if st.button("Summarize"):
+        result = summarizer(my_file)
+    st.success(result)
+        
+
+summary()