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hosting nlp models for demo purpose

Project description

NLP2GO - hosting nlp models for demo purpose

Example

hosting single model

nlp2go --model model_path --predictor biotag

hosting multiple models

  1. create a json file as below:
{
    "API1_PATH": {
      "model": "model1_path",
      "predictor": "predictor_tag"
    },
    "API2_PATH": {
      "model": "model2_path",
      "predictor": "predictor_tag"
    }
}
  1. run
nlp2go --json json_file_path  

Installation

Installing via pip

pip install nlp2go

Running nlprep

Once you've installed nlprep, you can run with

python -m nlp2go.server # local version
or
nlp2go # pip installed version

and the following parameter:

$ nlp2go
arguments:
  --model       model path 
  or   
  --json        json file include models setting 

  --outdir      processed result output directory       

optional arguments:
  -h, --help    show this help message and exit
  --predictor   formatting result on different kind of task    ['biotag', 'tag', 'default']  
  --path api path
  --port api hosting port

Json file example

{
    "API1_PATH": {
      "model": "model1_path",
      "predictor": "predictor_tag"
    },
    "API2_PATH": {
      "model": "model2_path",
      "predictor": "predictor_tag"
    }
}

Expose application over the web

I recommend using ngrok to expose this api for demo purpose
Ngrok: https://ngrok.com

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