Transcribe a live phone call with Python - Flask tutorial

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:

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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

[avisden]

Thank you for the video. I was trying exact thing with python socket IO and just couldn't get it working. It seems like Twilio Websocket client doesn't have support with SocketIO.
This really helped !!

[kazekageoftheeast]

how does it perform with an agent and customer conversation?

[itay]

Hi is it possible to set the calls forward to 2 different webhook ? (for ezample one for the call app and one for the transcription in different urls)

[taht]

Can you share a tutorial where the system will send a text to the user and your codebase convert text-to-speech and exchange multiple questions and answers?

[dannteachertheoriginal]

I'd like to see this app transcribing heavy Indian accents! LOL

[RusalinIliev]

And there is no way to change language go different than english...