visNER

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In the wild extraction of entities that are found using Flair and displayed using a very elegant front-end.

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# visNER

In the wild extraction of entities that are found using **Flair** and displayed using a very elegant front-end.

### Screenshot

### Setting it up

#### Extractor (The backend)
- Change the directory to ``Extractor``.
- Open a terminal in the directory and do ``pip install -r requirements.txt``. (Recommended in a Python virtual environment).
- That's it, do ``python run.py ``. (By default, it opens the Flask server in the 8500. To run in other port, do ``python run.py --port <PORT_NUMBER>`` )

#### Angular Frontend
- Open the terminal in the main directory and do ``npm install``.
- Now do, ```ng serve``` in the terminal in the same directory.
- Navigate to `http://localhost:4200/`. visNER is now live there.

#### Credits
[Flair](https://github.com/zalandoresearch/flair)

#### Issues
The project is still in the very early stage. For any feature requests, errors, documentation requests or suggestions, please feel free 
to open issues in the repository.

#### Contact
[Mail](mailto:mayankl@iitk.ac.in) [Twitter](https://twitter.com/mayank_lunayach)

visNER

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