similar-faqs

This project was built to demonstrate how to build a dockerized python api utilizing a deep learning model. Check out the live demo here

https://huggingface.co/spaces/Shamima/similar-faqs

Usage

Install dependencies pip install -r requirements.txt

To run the server locally, run uvicorn main:app --reload.

To build and test a Docker image, run:

• docker build -t dlapi . to build the container.
  • If you're not running on 64-bit linux, instead run docker buildx build --platform linux/amd64 -t dlapi .. This will build the image using the correct architecture for Azure.
• docker run -d --name dlapi -p 80:80 dlapi to run the container.
• docker ps to view the container information.
• Run docker logs to see logs from the container. You should see Uvicorn running on http://0.0.0.0:80. If you don't see this, wait a bit and try running docker logs again.
• Visit 127.0.0.1 or localhost to see the API server. Visit localhost/docs to see API docs.
• Run docker stop dlapi to stop the container.