MedicalNER: Deploy PyTorch NER Model with Flask and Docker as Web App

A pretty and customizable web app to deploy your Deep Learning (DL) model with ease

Notice

This repo was to deploy any kind of ML or DL model(s) rather than just NER model.

Usage Demo

1. Clone the repo

   $ git clone https://github.com/SuperBruceJia/pytorch-flask-deploy-webapp.git
   

2. Run the following instructions

   1). Build Docker Image

   $ docker build -t ner-model .
   

   2). Make and Run a container for the above Image

   $ docker run -e LANG=C.UTF-8 -e LC_ALL=C.UTF-8 -it --rm -d -p 8000:8000 ner-model
   
   or 
   
   $ docker run -d -p 8000:8000 ner-model
   

3. Open the following URL (Google Chrome is recommended)

   http://0.0.0.0:8000/apidocs/#!/default/get_predict
   
   or 
   
   http://0.0.0.0:8000/apidocs

4. Input a medical sentence (in Chinese) and see the recognized entities!

   

   🏆 Enjoy your journey!

Docker Image

The Docker Images have been uploaded to Docker Hub.

Size of the Docker Image

1. Anaconda Python Environment --> 2.22 GB (V1.0)

   Used Image: continuumio/anaconda3:4.4.0

2. Standard Python Environment --> 617.96 MB (V2.0)

   Used Image: Python:3

3. Smaller Python Environment --> 447.05 MB (V4.0)

   Used Image: python:3.8-slim-buster with Apache 2

4. Much Smaller Python Environment --> 169.02 MB (V5.0)

   Used Image: python:3.8-slim-buster without Apache 2

Reference Image and Readings

1. Python Image

2. Anaconda Image

3. My uploaded Docker Images

4. The best Docker base image for your Python application

5. Docker Container UTF-8 Encoding

License

MIT License