Update app.py

app.py

@@ -234,9 +234,13 @@ with gr.Blocks(theme="gradio/soft") as demo:
       #       )
       gr.Markdown(
             """<h1><center>DePlot+LLM: Multimodal chain-of-thought reasoning on plot📊</center></h1>
+            <h3>
+            <center>
+            <a href='https://arxiv.org/abs/2212.09662' target='_blank'>[paper]</a> <a href='https://ai.googleblog.com/2023/05/foundation-models-for-reasoning-on.html' target='_blank'>[google-ai blog]</a> <a href='https://github.com/google-research/google-research/tree/master/deplot' target='_blank'>[code]</a>
+            </center>
+            </h3>
             <p>
             This is a demo of DePlot+LLM for QA and summarisation. <a href='https://arxiv.org/abs/2212.10505' target='_blank'>DePlot</a> is an image-to-text model that converts plots and charts into a textual sequence. The sequence then is used to prompt LLM for chain-of-thought reasoning. The current underlying LLMs are <a href='https://huggingface.co/google/flan-ul2' target='_blank'>flan-ul2</a> and <a href='https://openai.com/blog/chatgpt' target='_blank'>gpt-3.5-turbo</a>. To use it, simply upload your image and type a question or instruction and click 'submit', or click one of the examples to load them.   
-            Quick links: <a href='https://arxiv.org/abs/2212.09662' target='_blank'>[paper]</a> <a href='https://ai.googleblog.com/2023/05/foundation-models-for-reasoning-on.html' target='_blank'>[google-ai blog]</a> <a href='https://github.com/google-research/google-research/tree/master/deplot' target='_blank'>[code]</a>
             </p>
             """
             )