Movie Recommendations pipeline

Recommends top 10 movies based on user reviews in docker containers

Installation

Running without docker

create & activate virtual env then install dependency:

with venv/virtualenv + pip:

$ python -m venv env  # use `virtualenv env` for Python2, use `python3 ...` for Python3 on Linux & macOS
$ source env/bin/activate  # use `env\Scripts\activate` on Windows
$ pip install -r requirements.txt

or with Pipenv:

$ pipenv install --dev
$ pipenv shell

Then run the flask server

$cd movies
$ flask run -p 8082

Checking movie recommendations: http://17645-team14.isri.cmu.edu:8082/recommend/userid - This will generate movie recommendations for this user

Example: http://17645-team14.isri.cmu.edu:8082/recommend/679775

##Running in Docker Need to create a file called Keys.py with the

pd="password of kafka"
ip="ip address for kafka"

Run in docker by starting the load balancer and the script

$python3 load_balancer_demo/load_balancer.py

Then Start the containers

$./retraining.sh