streamlit time series API

This is a basic API made using streamlit to analyze time series. You can see the deployment, hosted on IBM cloud - Kubernetes Cluster, here: http://159.122.181.167:30498/

Quick run

• virtualenv venv -p python3.7

• source venv/bin/activate

• pip install -r requirements.txt

Go to src directory

• streamlit run app.py

Docker

• docker build -t streamlit-ts-ml:0.1.0 -f Dockerfile .

• docker run -p 8501:8501 streamlit-ts-ml:0.1.0

Then stop the process with the following command.

$ docker kill <weird_name>
<weird_name>
$

IBM Cloud - Deploy

• If you need help for deploying on Kubernetes:

• For tag and push (docker image) to container registry:

  • docker tag streamlit-ts-ml:0.2.0 us.icr.io/ml-api/streamlit-ts-ml:0.2.0

  • docker push us.icr.io/ml-api/streamlit-ts-ml:0.2.0

Go to deploy directory and run the following commands:

• For deployment:

  • kubectl apply -f deployment.yaml

• For service:

  • kubectl apply -f service.yaml

  Do not feel angry if the first try does not work, kubernetes and cloud is not too easy...but the result is really awesome!