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flask-ml-rest-api's Introduction

PyTorch Flask API

This repo contains a sample code to show how to create a Flask API server by deploying our PyTorch model. This is a sample code which goes with tutorial.

How to

Install the dependencies:

pip install -r requirements.txt

Run the Flask server:

python app.py

gunicorn

gunicorn -w 4 -b :5000 app:app --log-level debug

From another tab, send the image file in a request:

curl -X POST -F [email protected] http://localhost:5000/predict

Run Through Docker:

Build

docker image build -t flask-ml .

Run

docker run -p 5000:5000 -d flask-ml

Kubernetes

deploy

kubectl apply -f deployment.yaml

Run

kubectl port-forward <app-pod> 5000:5000

Delete pod

kubectl delete deployment flask-ml       

License

The mighty MIT license. Please check LICENSE for more details.

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