Update app.py

app.py

@@ -120,9 +120,11 @@ demo = gr.Interface(fn=summarize_ner,
                     title="AI Text Summarizer",
                     description= """<div class="header-text">
                     <h3>Generate concise summaries and highlight key entities</h3>
-                    <p>This tool helps you generate quick summaries from long-form text and highlights named entities such as <mark>people</mark>, <mark>organisations</mark>, and <mark>locations</mark>. The following models were used: the <code>bart-large-cnn</code> model for text summarisation and the <code>dslim/bert-base-NER</code> model for named entity recognition.</p></div>
+                    <a href="https://banjiola.github.io/Olabanji-Olaniyan/" 
+                    target="_blank">Olabaji Olaniyan</a>
+                    <p>This tool helps you generate quick summaries from long-form text and highlights named entities such as <mark>people</mark>, <mark>organisations</mark>, and <mark>locations</mark>. The following models were used: the <code>bart-large-cnn</code> model for text summarisation and the <code>dslim/bert-base-NER</code> model for named entity recognition.This web application is an implementation of Text Summarization and Named Entity Recognition.</p></div>
                     
-                    <p>This web application is an implementation of Text Summarization and Named Entity Recognition. <b><i>Click the example below to see it in action or paste your text.</b></i></p>
+                     <p><b><i>Click the example below to see it in action or paste your text.</b></i></p>
                     """,
                     flagging_mode="never",
                     examples= [example_1, example_2],