and here is the code. trying to post a trained model.

`with open('model.dill', 'rb') as f:
model = dill.load(f)

config = {'flavor': 'regression'}

s.post('http://localhost:5000/api/init', json=config)

r = s.post('http://localhost:5000/api/model', data=dill.dumps(model))

print (r.text)
`

Output:

Internal Server Error

The server encountered an internal error and was unable to complete your request. Either the server is overloaded or there is an error in the application.

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Fixed! We use somes files to generate random model names, to package them we need to include them in the MANIFEST.in file.

By the way I'll be releasing a stable version in the next few days. You're doing a lot of hard word testing things out, so big kudos to you.

from chantilly.

My pleasure, I really want to use this in our environment ASAP.

from chantilly.

@kevinsteger cool! I'll change the logging tomorrow.

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