Tweet parser built on Celery, RabbitMQ with a Flask API as frontend. Developed for the Applied Cloud Computing fall 2015 class at Uppsala University.

When running the main.py a parse_tweets task started to run asynchronously on the celery worker.

1. Start a RabbitMQ server by runnig rabbitmq-server. If rabbitmq is not installed, go ahead and install it

$ rabbitmq-server

2. Start a celery worker that can run the celeryapp. If celery is not installed, go ahead and install it

$ celery -A celeryapp.celeryapp worker --loglevel=info

3. Run the main.py script. Open the browser at localhost:5000 and amaze over the out put

$ python main.py