Upload app.py

app.py

@@ -37,12 +37,12 @@ with gr.Blocks(css=css, delete_cache=(3600,3600)) as demo:
     description = gr.HTML("""<p style='text-align:center;'>A helpful tool for data analysis, visualizations, regressions, and more. 
                           Upload a data file and chat with our virtual data analyst to get insights on your data set. 
                           Try a sample file to get started!</p>
-                          <div style="margin:auto;max-width: 500px;">
-                          <p style="margin:0;font-style:italic;line-height:1;">Currently accepts CSV, TSV, TXT, XLS, XLSX, XML, and JSON files.</p>
-                          <p style="margin:0;font-style:italic;line-height:1;">Can run SQL queries, linear regressions, and analyze the results.</p>
-                          <p style="margin:0;font-style:italic;line-height:1;">Can generate scatter plots, line charts, pie charts, bar graphs, histograms, time series, and more.
-                          New visualizations types added regularly.</p>
-                          </div>
+                          <ul style="margin:auto;max-width: 500px;">
+                          <li style="margin:0;line-height:1;">Currently accepts CSV, TSV, TXT, XLS, XLSX, XML, and JSON files.</li>
+                          <li style="margin:0;line-height:1;">Can run SQL queries, linear regressions, and analyze the results.</li>
+                          <li style="margin:0;line-height:1;">Can generate scatter plots, line charts, pie charts, bar graphs, histograms, time series, and more.
+                          New visualizations types added regularly.</li>
+                          </ul>
                           <p style='text-align:center;'>This application is under active development. If you experience bugs with use, 
                           open a discussion in the community tab and I will respond.</p>""")
     example_file_1 = gr.File(visible=False, value="samples/bank_marketing_campaign.csv")