This package sends your deep learning model's training and validation metrics to your slack channel after every specified epoch. It uses slackclient and keras python packages.
$ pip install coffeeshop
from coffeeshop.coffeeshop import Coffeeshop
secret = 'xoxp-slacktoken'
# For sending metrics to channel.
channel_name = 'name_of_channel_to_be_posted'
histories = Coffeeshop(token = secret, channel_name = channel_name, epoch_num = 5)
# For sending metrics to user.
user = 'User Name'
histories = Coffeeshop(token = secret, user_name = user, epoch_num = 5)
# Add histories in the callbacks.
model.fit(X_train, Y_train, epochs = epochs, batch_size = batch_size,callbacks = [histories])
