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In the Azure Portal: Create a function app which you will use in the next steps Under the associated storage account for the function create a container named
jokes -
Clone repo
git clone [email protected]:simonaco/25daysofserverless.git
cd 25daysofserverless
npx func azure functionapp publish <your-function-name> --python- Train the model that you will upload to the created storage container
python3.7 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt # inside the 25daysofserverless folder
python create_model.py # trains the model for that you will use for your API-
Go to the storage section in the azure portal and upload the resulting
textgenrnn_weights.hdf5 -
This should trigger the function to execute. If everything has worked then you should see no errors in the Live Metrics stream.