selkhayri / flaskAPI-NER

Named-entity recognition model deployment

flaskAPI-NER

Named-entity recognition model deployment

Purpose

The purpose of this project is the deployment of a NLP model and providing access to it through a web API.

Components

The components of the web service API are the following:

• spacy
• flask

Deployment

From the project folder, implement the following steps:

1. Create a virtual environment

   conda create --name <venv> python=3.9.6 -y

2. Enable the new virtual enviroment:

   conda activate <venv>

3. Install the Flask web server:

   conda install flask=1.1.2 -y

4. Install the spacy NLP library:

   conda install spacy=2.3.5 -y

5. Install the English core component for spacy:

   conda install -c conda-forge spacy-model-en_core_web_md -y

6. Set the FLASKAPP environemtn variable to app.py:

   export FLASKAPP=app.py

7. Start the flask web server:

   flask run

Operation

1. Click on the URL that was provided by the flask run step above:

   Named Entity Extractor

2. In the text area, enter some text:

   

3. Select the named entity of interest. The possible choices are Organization , Person, Geopolitical, and Money.

   

4. After hitting the Submit button, the text is analyzed by the spacy NLP model and a list of entities matching the selected type are returned.