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README.md

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NER Annotator for SpaCy allows you to create training data for creating a custom NER Model with custom tags.
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- Web Application: [https://tecoholic.github.io/ner-annotator/](https://tecoholic.github.io/ner-annotator/)
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- Linux: [Debian Package or an AppImage](https://github.com/tecoholic/ner-annotator/releases)
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- Windows: [x64 MSI Installer](https://github.com/tecoholic/ner-annotator/releases)
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- Linux: [Debian Packages & AppImage](https://github.com/tecoholic/ner-annotator/releases)
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- Windows: [Installers](https://github.com/tecoholic/ner-annotator/releases)
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## Features
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### Requirements
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1. Node JS 14.x
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1. NodeJS v21.x
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2. Yarn Package Manager
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3. Rust (for building desktop versions)
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3. Rust toolchain (for building desktop versions)
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### Running it locally for development
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1. Open another terminal and start the server for the UI
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```sh
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yarn
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yarn serve
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yarn install
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yarn dev
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```
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Now go to [http://localhost:8081/ner-annotator/](http://localhost:8081/ner-annotator/)
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Now go to [http://localhost:5173](http://localhost:5173)
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### Developing the desktop application
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The desktop applications have been created using [Tauri](https://tauri.studio).
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The desktop applications have been created using [Tauri](https://v2.tauri.app/).
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```sh
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yarn tauri:serve
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yarn tauri serve
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```
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To build the final binaries run
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```sh
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yarn tauri:build
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yarn tauri build
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```
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## Credits

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