The assignment description and requirements are on Moodle.
The small flask application presented here is a proxy that we use to interact with Huggingface Inference API.
Your job is to deploy and interact with Huggingface API using this proxy. The interface will be built
using no-code Bubble.
This assignment covers the first four learning cycles:
- Software Architecture
- Bubble
- API Design
- Cloud Computing
Different aspects of the assignment covers of all four cycles. Please go back to the lecture materials in case there is something you don't understand. In addition, we provide materials here that we believe will act as further hints for successfully completing the assignment.
NOTE: The code has been developed and tested on Ubuntu (Debian). This is the OS you will be using on the Google Cloud Platform. For local testing, you might need to find the appropriate information, if needed.
- main.py: contains all the code for the proxy including the API routes.
- Pipfile, Pipfile.lock: dependency file for running the codebase
- Dockerfile: docker build configuration
- You can use TLDraw for diagramming: https://www.tldraw.com/ [you can use any other tool if you prefer, like LucidCharts, Miro etc.]
- Curl for testing your docker container locally: https://daniel.haxx.se/blog/2021/05/31/curl-localhost-as-a-local-host/
- Installing Docker on Debian: https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-debian-10
- You can use
sudo passwdto set the password once you login to your GCP VM. - Dockerize your application: https://docs.docker.com/get-started/02_our_app/
- Run Dockerfile: https://docs.docker.com/language/java/run-containers/
- Docker image to Docker Hub: https://docs.docker.com/get-started/04_sharing_app/
- Firewall Rules on GCP: https://www.howtogeek.com/devops/how-to-open-firewall-ports-on-a-gcp-compute-engine-instance/
- In case you would like to work using your local terminal: https://cloud.google.com/sdk/docs/install-sdk#linux