visNER

KO | EN

gitlite — search

#typescript #llm #go #rust #deep-learning #java #windows #cli #vue #awesome-list #ios #mcp #openai #open-source

(★ 71)

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

visNER 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# 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

visNER 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

visNER

visNER 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README