Learn how to build a Flask application in Python for real-time phone call transcription using AssemblyAI, Twilio, and ngrok in this 32-minute tutorial video. Explore the process of setting up credentials, creating a Flask app, defining endpoints, obtaining a Twilio number, opening an ngrok tunnel, and implementing WebSocket communication for speech reception. Discover how to define a real-time transcriber, integrate it with the WebSocket, and automate the Twilio WebHook and ngrok tunnel setup. Gain insights into the applications and results of Graph ML in the context of call transcription, enhancing accessibility and analysis capabilities for industries like customer support and call centers.
Transcribe Live Phone Calls with Python and Flask - Real-Time Call Transcription Tutorial
AssemblyAI via YouTube
Overview
Syllabus
Demo
How it works
Getting started
Step 1: Set up credentials and environment
Step 2: Create the Flask application
Step 3: Define the root endpoint
Step 4: Get a Twilio number and open an ngrok tunnel
Step 5: Set up a WebSocket to receive speech
Step 6: Define a real-time transcriber
Step 7: Add real-time transcription to the WebSocket
Step 8: Automatically set the Twilio WebHook and ngrok tunnel
Graph ML - applications and results
Taught by
AssemblyAI
