| Name | st-text-annotator JSON |
| Version |
0.3.4
JSON |
| download |
| home_page | |
| Summary | Component for annotating text for NLP resolution |
| upload_time | 2023-12-07 10:52:44 |
| maintainer | |
| docs_url | None |
| author | Robin Marquet |
| requires_python | >=3.8, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.* |
| license | MIT |
| keywords |
streamlit
text
annotation
nlp
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<h1> streamlit-annotation </h1>
- [Streamlit Text Annotator](#streamlit-text-annotator)
- [Demo](#demo)
- [Install](#install)
- [Quick Use](#quick-use)
- [Development](#development)
- [Install](#install-1)
- [Run](#run)
- [License](#license)
- [Author](#author)
- [Contributors](#contributors)
# Streamlit Text Annotator
[](https://badge.fury.io/py/st-text-annotator)
[](https://pepy.tech/project/st-text-annotator)
[](https://pepy.tech/project/st-text-annotator)
[](https://pepy.tech/project/st-text-annotator)
Streamlit Text Annotator is a Streamlit component that allows you to annotate text.
# Demo
[](https://st-text-annotator.streamlit.app/)
# Install
```
pip install st-text-annotator
```
# Quick Use
Create an example.py file
```python
from st_text_annotator import StTextAnnotator
text = "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean et hendrerit orci. Praesent auctor malesuada lobortis. Suspendisse ac elit bibendum, congue tellus vel, ornare ipsum. Mauris at tellus in turpis aliquet cursus."
StTextAnnotator(text)
```
Run:
```
streamlit run example.py
```
Output:
```json
{
"annotations": [
[
{
"start": 0,
"end": 5,
"label": "Lorem"
},
{
"start": 12,
"end": 26,
"label": "dolor sit amet"
},
{
"start": 130,
"end": 148,
"label": "Curabitur lobortis"
},
{
"start": 309,
"end": 319,
"label": "nec turpis"
}
]
]
}
```
# Development
## Install
```
git clone git@github.com:rmarquet21/streamlit-text-annotator.git
cd streamlit-text-annotator
pip install -e .
```
## Run
```
streamlit run example.py
```
# License
MIT
# Author
Robin Marquet
# Contributors
- [Robin Marquet](robin.marquet3@gmail.com)
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"description": "<h1> streamlit-annotation </h1>\n\n- [Streamlit Text Annotator](#streamlit-text-annotator)\n- [Demo](#demo)\n- [Install](#install)\n- [Quick Use](#quick-use)\n- [Development](#development)\n - [Install](#install-1)\n - [Run](#run)\n- [License](#license)\n- [Author](#author)\n- [Contributors](#contributors)\n\n# Streamlit Text Annotator\n\n[](https://badge.fury.io/py/st-text-annotator)\n[](https://pepy.tech/project/st-text-annotator)\n[](https://pepy.tech/project/st-text-annotator)\n[](https://pepy.tech/project/st-text-annotator)\n\nStreamlit Text Annotator is a Streamlit component that allows you to annotate text.\n\n# Demo\n\n[](https://st-text-annotator.streamlit.app/)\n\n\n\n# Install\n\n```\npip install st-text-annotator\n```\n\n# Quick Use\n\nCreate an example.py file\n\n```python\nfrom st_text_annotator import StTextAnnotator\n\ntext = \"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean et hendrerit orci. Praesent auctor malesuada lobortis. Suspendisse ac elit bibendum, congue tellus vel, ornare ipsum. Mauris at tellus in turpis aliquet cursus.\"\n\nStTextAnnotator(text)\n```\n\nRun:\n\n```\nstreamlit run example.py\n```\n\nOutput:\n\n```json\n{\n \"annotations\": [\n [\n {\n \"start\": 0,\n \"end\": 5,\n \"label\": \"Lorem\"\n },\n {\n \"start\": 12,\n \"end\": 26,\n \"label\": \"dolor sit amet\"\n },\n {\n \"start\": 130,\n \"end\": 148,\n \"label\": \"Curabitur lobortis\"\n },\n {\n \"start\": 309,\n \"end\": 319,\n \"label\": \"nec turpis\"\n }\n ]\n ]\n}\n```\n\n# Development\n\n## Install\n\n```\ngit clone git@github.com:rmarquet21/streamlit-text-annotator.git\ncd streamlit-text-annotator\npip install -e .\n```\n\n## Run\n\n```\nstreamlit run example.py\n```\n\n# License\n\nMIT\n\n# Author\n\nRobin Marquet\n\n# Contributors\n\n- [Robin Marquet](robin.marquet3@gmail.com)\n\n",
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