Spaces:
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---
title: Swedish Entity Recognition
emoji: 📝
colorFrom: darkturquoise
colorTo: white
sdk: gradio
sdk_version: 3.12.0
python_version: 3.9.13
app_file: app.py
pinned: false
license: openrail
models: ["KBLab/bert-base-swedish-cased-ner"]
---
# Swedish Entity Recognition
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
## Preparing a Gradio app for Huggingface Spaces
Setup:
# Create a “safe” virtual Python environment
python3 -m venv env
# Install Gradio
pip3 install gradio
# Install optional packages for your specific app: pip3 install torch transformers
# Update the list of required packages
pip3 freeze > requirements.txt
# Create a blank app.py
touch app.py
Edit `app.py`, then run:
python3 app.py
and test your Gradio app on: http://127.0.0.1:7860/
## REST API via Gradio “Use via API” (see page footer)
curl -X POST -H 'Content-type: application/json' --data '{ "data": ["Jag heter Tom och bor i Stockholm."] }' https://tomsoderlund-swedish-entity-recognition.hf.space/run/predict
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