Saliency Inference API Template

This is an API and Streamlit app to interact with a saliency model. The API is built using FastAPI and the Streamlit app is built using Streamlit. The API is built to be run in a Docker container.

Setup

Install dependencies

pip install -r requirements.txt

Run the API

uvicorn main:app --reload --workers 1 --host 0.0.0.0 --port 8080

This will run the FastAPI server on port 8080.

(Alternative) Run the API in a Docker container

docker build -t ds-api-template .
docker run -p 8080:8080 ds-api-template

You can test this is running by executing the same curl command as above, which should return the same response.

NOTE: You will need to have Docker installed on your machine. To install Docker, follow the instructions here.

Run the Streamlit App

Once you've set up the API, you can run the Streamlit app to interact with the API.

To run the Streamlit app, run the following command:

streamlit run app.py

You will need to have Streamlit installed on your machine. To install Streamlit, run the following command:

pip install streamlit

You will also need to update a secrets.toml file in a .streamlit directory at the root of the repo. This file should contain the following:

api_host = "http://localhost:8080"
password = "<INSERT DESIRED PASSWORD HERE>"