<?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/59fdddf129534dc2be4dde3cc6ebe8de&quot; frameborder=&quot;0&quot; width=&quot;1156&quot; height=&quot;867&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>867</height><width>1156</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>867</thumbnail_height><thumbnail_width>1156</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/59fdddf129534dc2be4dde3cc6ebe8de-00001.gif</thumbnail_url><duration>229.56666666666666</duration><title>Translator Bot Demo Code Overview</title><description>Hey, I&apos;m Chad. In this video, I provide a quick overview of the code behind the Translator bot demo. I walk through the code in the daily AI examples repo, specifically focusing on the bot.py file in the translation chatbot folder. I explain the imports, custom processors, and the main function where the magic happens. I also discuss configuring services like text to speech and LLM, as well as the sentence aggregator and translation processor. I demonstrate how we create a system for translating text and how we use the translation subtitles frame processor to send translated text to other call participants. Finally, I show how we generate audio using text to speech. Check it out!</description></oembed>