Learn how to deploy a TensorFlow model as a Flask API. In this tutorial, we’ll deploy the speech recognition system we built in a previous video as a Flask application. Then, we’ll implement a client that can send audio files through HTTP POST requests to our Flask server and get back predictions.
Code:
https://github.com/musikalkemist/Deep-Learning-Audio-Application-From-Design-to-Deployment
Flask documentation: https://flask.palletsprojects.com/en/1.1.x/
#python #flask #tensorflow
66.15 GEEK