Real-time call transcription is great for increasing accessibility and is widely applicable across different industries like customer support and call center analysis. In this video, we'll build a Flask application in Python to transcribe phone calls in real time with AssemblyAI, Twilio, and ngrok. Relevant links: 1. Get an AssemblyAI API Key: https://www.assemblyai.com/dashboard/signup?utm_source=youtube&utm_medium=referral&utm_campaign=yt_ry_5 2. Sign up for Twilio: https://login.twilio.com/signup 3. Sign up for Ngrok: https://dashboard.ngrok.com/signup 4. GitHub repo: https://github.com/AssemblyAI-Examples/python-realtime-twilio-transcription 5. Blog post: https://www.assemblyai.com/blog/transcribe-phone-call-real-time-python/ ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬ 🖥️ Website: https://www.assemblyai.com/discover/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_ry_5 🐦 Twitter: https://twitter.com/AssemblyAI 🦾 Discord: https://discord.gg/Cd8MyVJAXd ▶️ Subscribe: null 🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 Demo 00:25 How it works 01:34 Getting started 01:45 Step 1: Set up credentials and environment 04:16 Step 2: Create the Flask application 06:26 Step 3: Define the root endpoint 09:04 Step 4: Get a Twilio number and open an ngrok tunnel 11:18 Step 5: Set up a WebSocket to receive speech 15:15 Step 6: Define a real-time transcriber 21:34 Step 7: Add real-time transcription to the WebSocket 25:55 Step 8: Automatically set the Twilio WebHook and ngrok tunnel 31:20 Graph ML - applications and results #MachineLearning #DeepLearning