Work In progress

Successfully deployed an RNN based text model locally.

An E-Commerce App being deployed in 1 week…

Original files could be found here in this repository

We aim to develop a front-end app using python Flask framewoork and deploy it as a service on the cloud. This is to mimick a real life scenario, where we productionalize the machine learning pipeline.

Follow the instructions below to locally deploy the RNN text app to classify an e-commerce product given, gender, base color, season, usage and a text description.

Example:

  1. Clone the repository into a desired location on your local machine.

    git clone https://github.com/nmariya/ecommerce_predictive-app.git

  2. Open the folder in an IDE. ex. Visual Studio Code

  3. Enter the following commands in the terminal

    cd <location_of_folder>/application python app.py

  4. Once you see the Flask app running, you’ll get a local http. ex. http://localhost:5000/

  5. Click on the link and a local webpage will open up.

  6. Now goto ./predict and you will see the prediction result of out sample input.

![]