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"Covid-19 AI in Docker" demo deployment including Flask, FastAPI, Tensorflow Serving and HA Proxy etc etc

Dockerfile 0.01% Python 0.03% CSS 0.01% HTML 0.01% Jupyter Notebook 99.96%

covid-ai-demo-deployment's Introduction

"Covid-19 AI demo in Docker" deployment including dockerised Flask, FastAPI, Tensorflow Serving and HA Proxy etc etc.

Sample application on AWS: http://ec2-18-134-16-118.eu-west-2.compute.amazonaws.com:8056

Default: docker-compose up -d

Scale-up: docker-compose up --scale fastapi=2 --scale flask=2 -d

Full documentation will be pulished here: https://community.intersystems.com/post/deploy-mldl-models-api-service-stacks

Note: Tensorflow exported models are ommited in the models directory, since they are ~250M (larger than 100M by Github). I will upload these large files seperately.

The models are exported from Jupyter pipelines at here: https://community.intersystems.com/post/run-some-covid-19-lung-x-ray-classification-and-ct-detection-demos) and https://community.intersystems.com/post/explainability-and-visibility-covid-19-x-ray-classifiers-deep-learning

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