Transcribe a live phone call with Python - Flask tutorial
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- Опубліковано 9 чер 2024
- 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: www.assemblyai.com/dashboard/...
2. Sign up for Twilio: login.twilio.com/signup
3. Sign up for Ngrok: dashboard.ngrok.com/signup
4. GitHub repo: github.com/AssemblyAI-Example...
5. Blog post: www.assemblyai.com/blog/trans...
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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 - Наука та технологія
Incredible
how does it perform with an agent and customer conversation?
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?
I'd like to see this app transcribing heavy Indian accents! LOL
very cool, but seems very expensive
😎
And there is no way to change language go different than english...
add other languages please