<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/76b34756d10d41b38d77bb0c20589674&quot; frameborder=&quot;0&quot; width=&quot;1772&quot; height=&quot;1329&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1329</height><width>1772</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1329</thumbnail_height><thumbnail_width>1772</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/76b34756d10d41b38d77bb0c20589674-0b2aebce5d660a1b.gif</thumbnail_url><duration>208.231</duration><title>Deepnote AI in the file editor</title><description>In this video, I demonstrate how to use DeepNode File AI to create a Streamlet app for generating sales reports from CSV data. We encountered a minor issue with encoding, which we resolved by switching to Latinet. The app now shows our monthly sales growth of 67% and includes a chart for better visualization. I encourage you to explore the AI&apos;s capabilities further and consider adjusting our annual sales target to 5 million.</description></oembed>