<?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/0358b36bcee74a1a92e24edffed90357&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0358b36bcee74a1a92e24edffed90357-032c155de126c912.gif</thumbnail_url><duration>240.9728</duration><title>Exploring OpenAI Realtime Console 🚀</title><description>Hey everyone, in this video, I showcase the Streamlit OpenAI Realtime Console I developed after OpenAI released their new Realtime API at Dev Day. I struggled with JavaScript but managed to create a WebSocket-based Streamlit app for real-time text and audio interactions. I added audio input and output support, and you can find the project on GitHub under my username, mdagost. Join me for a quick walkthrough of the app!</description></oembed>