metadata

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’s “Use via API” feature (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