One last optional step is to add a reverse web proxy server in front of your app. sudo tee /etc/systemd/system/app.service << EOFĮxecStart=/bin/bash -c 'cd /opt/apps/app & source /opt/anaconda/bin/activate app & uwsgi -ini uwsgi.ini'Īs always, make sure that it's working: $ curl localhost: 8080 If the server gets rebooted for any reason. We want to make sure that our app is started at boot conda env create -f /opt/apps/app/environment.yml -n app source activate app cd /opt/apps/app uwsgi -ini uwsgi.ini curl localhost:8080 source deactivate

We're going to store our web app code and models in /opt/apps/app. sh - b - p /opt/anacondaįor convenience, add Anaconda to $PATH for this terminal session. sudo mkdir -p /optĭownload & install Anaconda into /opt/anaconda. We're not going to use our $HOME directory.įor convenience, let's give ourselves write permissions to /opt. Since we're deploying on a potentially shared server, Or packages installed by pip may not be built properly. You can exit the environment with source deactivateĪs before, we are going to need this system level package. In this tutorial, I'm just returning Hello world!. conda create -n app python -yĬonda install scipy numpy scikit-learn flask -yĬreate your web app that loads your model and does the work. Next, you create a new environment for your project and install all dependencies. 1-Linux-x86_64.sh -b -p $HOME/anaconda2Įcho 'export PATH=' $PATH: $HOME/anaconda2/bin'' >. Here's how to download & install Anaconda into your home folder.

You're using Anaconda because it can install packages in your home directory and sudo apt install build-essential -yĮver since you made a mess using sudo pip install that caused you to reinstall your Ubuntu, We are going to need this system level package.

Conda install xgboost 0.72.1