Check out the post.
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Fork/Clone
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Create and activate a virtual environment:
$ python3 -m venv venv && source venv/bin/activate
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Install the requirements:
(venv)$ pip install -r requirements.txt
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Train the model:
(venv)$ python >>> from model import train, predict, convert >>> train()
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Run the app:
(venv)$ uvicorn main:app --reload --workers 1 --host 0.0.0.0 --port 8008
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Test:
$ curl \ --header "Content-Type: application/json" \ --request POST \ --data '{"ticker":"MSFT"}' \ http://localhost:8008/predict