https://github.com/superbrucejia/pytorch-flask-deploy-webapp
This is a Flask + Docker deployment of the PyTorch-based Named Entity Recognition (NER) Model (BiLSTM-CRF) in the Medical AI.
https://github.com/superbrucejia/pytorch-flask-deploy-webapp
bilstm-crf bilstm-crf-model deep-learning deep-learning-models docker docker-container dockerfile flagger flask-application flask-docker flask-docker-demo medical medical-application medical-application-webapp named-entity-recognition python pytorch pytorch-models webapp
Last synced: 3 months ago
JSON representation
This is a Flask + Docker deployment of the PyTorch-based Named Entity Recognition (NER) Model (BiLSTM-CRF) in the Medical AI.
- Host: GitHub
- URL: https://github.com/superbrucejia/pytorch-flask-deploy-webapp
- Owner: SuperBruceJia
- License: mit
- Created: 2020-09-10T09:23:49.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2023-01-28T12:45:23.000Z (over 2 years ago)
- Last Synced: 2025-04-21T12:44:11.222Z (6 months ago)
- Topics: bilstm-crf, bilstm-crf-model, deep-learning, deep-learning-models, docker, docker-container, dockerfile, flagger, flask-application, flask-docker, flask-docker-demo, medical, medical-application, medical-application-webapp, named-entity-recognition, python, pytorch, pytorch-models, webapp
- Language: Python
- Homepage: https://github.com/SuperBruceJia/pytorch-flask-deploy-webapp
- Size: 2.14 MB
- Stars: 22
- Watchers: 1
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
## 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)
```html
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](https://hub.docker.com/r/shuyuej/ner-pytorch-model/tags).
## Size of the Docker Image
1. [Anaconda Python Environment](https://github.com/SuperBruceJia/pytorch-flask-deploy-webapp/tree/master/BiLSTM-docker-Anaconda) --> **2.22 GB** (V1.0)
*Used Image*: continuumio/anaconda3:4.4.0
2. [Standard Python Environment](https://github.com/SuperBruceJia/pytorch-flask-deploy-webapp/tree/master/BiLSTM-docker-Python) --> **617.96 MB** (V2.0)
*Used Image*: Python:3
3. [Smaller Python Environment](https://github.com/SuperBruceJia/pytorch-flask-deploy-webapp/tree/master/BiLSTM-docker-Python-Smaller) --> **447.05 MB** (V4.0)
*Used Image*: python:3.8-slim-buster with Apache 2
4. [Much Smaller Python Environment](https://github.com/SuperBruceJia/pytorch-flask-deploy-webapp/tree/master/BiLSTM-docker-Python-without-Apache) --> **169.02 MB** (V5.0)
*Used Image*: python:3.8-slim-buster without Apache 2
## Reference Image and Readings
1. [Python Image](https://hub.docker.com/_/python?tab=description)
2. [Anaconda Image](https://hub.docker.com/r/continuumio/anaconda3)
3. [My uploaded Docker Images](https://hub.docker.com/r/shuyuej/ner-pytorch-model/tags)
4. [The best Docker base image for your Python application](https://pythonspeed.com/articles/base-image-python-docker-images/)
5. [Docker Container UTF-8 Encoding](https://developer.aliyun.com/article/175738)
## License
MIT License