GitHub - guillermo-arce/stock_market_webapp: Web application that integrates TensorFlow models in order to allow the user make predictions on financial data from AAPL 2019.

guillermo-arce / stock_market_webapp Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

Web application that integrates TensorFlow models in order to allow the user make predictions on financial data from AAPL 2019.

0 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
stock_api		stock_api
webapp		webapp
README.txt		README.txt
docker-compose.yml		docker-compose.yml

Repository files navigation

Welcome to the README, please find below some indications.

Directory structure explained:

- stock_api: Contains the Python implementation of StockAPI, as well as the required Dockerfile.

- webapp: Contains the Python implementation of WebApp, as well as the required Dockerfile.

- docker-compose.yml: It is the YAML file to configure our web application deployment.

You can access prediction models repository right here: https://github.com/guillermoarce07/stock_market_models

HOW-TO:

In order to access the web application, you can do the following:

- Deploy the web application locally. For that purpose, it is just needed to execute the following command from the current directory (as well as having "docker" and "docker-compose" installed):

	$ docker-compose up -d --build

	Please, feel free to remove/edit the extra flags:
	
	"-d" is for detached mode-
	"--build" is for forcing image building before starting containers.


	After that, accessing http://localhost:7000 should show the web application.