simple-boom/free-style-transfer

Neutral Style Transfer Application that runs on Google Cloud App Engine using Flask.

Free-Style-Transfer

Neutral Style Transfer Application that runs on Google Cloud App Engine using Flask.

Please checkout:

>>> Final Application

>>> Blog article

In detail, in this project I have explored Neural-Style-Transfer. In particular, I have built a free Neural Style Transfer web-application that runs entirely on Google Cloud. The idea is to use predominately Cloud services and Open-Source technologies to make the app tangible and accessible for everyone. In detail, to build and run the web-application, I used:

• Google App Engine
• Google Cloud Storage
• TensorFlow Hub
• Flask

Tl;dr: Machine Learning does not have to be a black-box. Applications that use ML generally consist of different building blocks. My motivation to build the application and write the blog post mentioned above is entirely focused on educational purposes. Further, I want to introduce a simple guide on how to deploy ML applications in the Cloud and make them accessible to the wider public. In this blog post, I am only going to outline the steps on how to deploy the machine learning model and web application. I uploaded the entire code in this github repo.

the repo does hold the following:

• app.yaml (to specify the python runtime)
• cron.yaml (to avoid shutting down of the Google app engine)
• main.py (the python application with the ml model)
• requiremenrs.txt (to specify the dependencies)
• A static folder (including the web interface and the images / favicons used

Example pic: