Can only serve machine learning models.
NOTE: Currently in beta development. Breaking changes may happen at any time.
The Karlovic library aims to simplify the process of setting up a htts server that serves machine learning models.
pip install karlovic
from karlovic import model_server def bottle_configuration_function(bottle): # Configure bottle pass plugins = [ SomePlugin, ... ] app, run_server = model_server(plugins, bottle_configuration_function) # Use the app decorator to define endpoints @app.get('/hello') def hello(): return "<h1>Hello World</h1>" @app.post('/world') def hello(image): return "some response" use_image_form(app, ['/world']) # Creates GET '/world/form' that posts an # image to '/world' run_server()
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for karlovic-0.1.4b0-py3-none-any.whl