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Build your jokes generator using Machine Learning and Serverless

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25daysofserverless

  1. 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

  2. Clone repo

git clone git@github.com:simonaco/25daysofserverless.git
cd 25daysofserverless
npx func azure functionapp publish <your-function-name> --python
  1. 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
  1. Go to the storage section in the azure portal and upload the resulting textgenrnn_weights.hdf5

  2. This should trigger the function to execute. If everything has worked then you should see no errors in the Live Metrics stream.

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Build your jokes generator using Machine Learning and Serverless

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