<?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/11baa3bdaf1c4c4cb4d2589f7f778a10&quot; frameborder=&quot;0&quot; width=&quot;1792&quot; height=&quot;1344&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1344</height><width>1792</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1344</thumbnail_height><thumbnail_width>1792</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/11baa3bdaf1c4c4cb4d2589f7f778a10-00001.gif</thumbnail_url><duration>223.29999776699995</duration><title>Computer Vision Tutorial: Configuring the TFL Camera Feed Service</title><description>In this video, I address a runtime error occurring in the TFL camera feed service of our computer vision pipeline. I explain that the issue is due to the TFL API key not being configured and guide you on how to set it up. I demonstrate how to create a secret key for the API key and associate it with the variable in our environment. Finally, I redeploy the service with the new API key. No action is requested from you in this video, but it provides important troubleshooting steps for our computer vision project.</description></oembed>