Preparing a Gradio app for Huggingface Spaces

README.md

@@ -15,6 +15,26 @@ models: ["KBLab/bert-base-swedish-cased-ner"]
 
 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": ["Wirwachs malmgård är en på 1770-talet uppförd egendom som ligger på västra Södermalm i Stockholm."] }' https://tomsoderlund-swedish-entity-recognition.hf.space/run/predict