Paper and resources for a university exam on building an API to access an AI application. For the final paper see: https://github.com/haenno/ai-api/blob/main/00-documentation/document.pdf.
A running instance (live demo) of the solution can be found here https://ai-api.tstsrv.de/.
- Clone or download this repository.
- Install Docker and docker-compose.
- Open the folder
50-docker-deploymentin a terminal and run these two commands there:- Build the containers with
docker-compose build. - Start the containers with
docker-compose up.
- Build the containers with
- Then you can open the frontend (Vue.js with Axios) here http://127.0.0.1:8080 and the backend (Django REST API to a AI application) here http://127.0.0.1:8000.
See the README.md in 50-docker-deployment (and also every other folder in this repository) for futher information.
There are serveral subfolders in order of the development of this paper:
- 00-documentation: The paper itself including the LaTeX source and build scripts.
- 10-example-ai-app: A simple AI application (a chatbot) based on this tutorial: https://github.com/python-engineer/pytorch-chatbot.
- 20-prepared-ai-app: A futher developed version of the AI application, callable with parameters from console or directly from other Python scripts.
- 30-django-base-install: A base installation of Django with all needed packages for a REST API including the chatbot/AI application.
- 40-vue-axios-webpage: A Frontend for the REST API based on Vue.js and Axios.
- 50-docker-deployment: Final stage as a
docker-comose.yamlwith everything put together for easy deployment.