<?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/6b66a531c55f48e0b7babdd826fa4293&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/6b66a531c55f48e0b7babdd826fa4293-8b21d24b9c33fb72.gif</thumbnail_url><duration>577.733</duration><title>Automated WhatsApp Messaging with OpenAI Brain 🤖</title><description>In this Loom I’m doing the final part of the WhatsApp Automation Messaging. I combine the brain and final parts into one script that uses my ears with speech recognition, then OpenAI to extract the contact name and the message from what I say. I only allow contacts that exist in my phonebook mapping, and if it cannot fit it returns None. Then PyWhatKit and PyAutoGUI open WhatsApp, type the message, and press enter after a short wait. I demonstrate it by speaking and having the message send automatically.</description></oembed>