2. Create a virtualenv and install the requirements.
2a. Change pasth to deploy.sh in app.py
3. Open a second terminal window and start a local Redis server (if you are on Linux or Mac, execute `run-redis.sh` to install and launch a private copy).
4. Open a third terminal window. Start a Celery worker: `venv/bin/celery worker -A app.celery --loglevel=info`.
5. Start the Flask application on your original terminal window: `venv/bin/python app.py`.
6. Go to `http://localhost:5000/` and enjoy this application!
3. Change pasth to deploy.sh in app.py
4. Open a second terminal window and start a local Redis server (if you are on Linux or Mac, execute `run-redis.sh` to install and launch a private copy).
5. Open a third terminal window. Start a Celery worker: `venv/bin/celery worker -A app.celery --loglevel=info`.
6. Start the Flask application on your original terminal window: `venv/bin/python app.py`.
7. Start container with name myc. For example `docker run -it --name myc alpine sh`.
8. Start async task with `curl -X POST -i http://localhost:5000/longtask`.