deep-learning-tool

Steps to run:

1. After cloning the repository, create a new virtual environment:

• Follow https://virtualenv.pypa.io/en/stable/ to install virtualevn
• Then from the root directory of the repository, run virtualenv venv to create a new virtual environment

2. Follow https://redis.io/download to install redis. If you are using Mac, i recommend run brew install redis from your terminal. Then start redis server by running redis-server
3. Run source ./venv/bin/activate to activate your virtual environment
4. Run pip install -r requirements.txt install all dependencies
5. Run flask-server: python ./flask-server/flask_server.py. this will start a web server listening on port 5000. Go to http://local.staging.axlehire.com:5000/ to check if the server is up
6. Run Keras: open a new terminal and change dir to the repository's root folder, then activate virtual environment again: source ./venv/bin/activate. Run python ./keras/run_keras_server.py to kick off keras script