How to Build a WhatsApp Translator with Twilio, Python, Flask and Microsoft Azure
Blog post from Twilio
To start building the WhatsApp translator, create a virtual environment using Python 3.7 or newer, install the required packages including Flask, ngrok, and Twilio, and set up a Flask application that responds to incoming WhatsApp messages with it. Next, configure the Twilio WhatsApp API by enabling the sandbox and connecting your smartphone to it. Create a cognitive service resource in Azure using Microsoft Azure account, which will be used to get the texts translated. Define constants such as headers, tags, languages, and authentication credentials for the Translator API. Build two main functionalities: detect language of a text and translate a text into a given language. These functionalities are implemented by defining functions such as `detect_language`, `translate`, `detect_translate`. Finally, test out your WhatsApp translator bot using ngrok and Flask app.