slack_update.py

def report_stats(text, channel):
    """Report training stats"""
    r = slack.chat.post_message(channel=channel, text=text,
                                username='Training Report',
                                icon_emoji=':clipboard:')
    
class SlackUpdate(Callback):
    """Custom Keras callback that posts to Slack while training a neural network"""

    def __init__(self, channel):
        self.channel = channel
    
    # Action at end of epoch
    def on_epoch_end(self, batch, logs={}):
        
        # Post current results
        message = f'Epoch: {self.n_epochs} Training Loss: {self.train_loss[-1]:.4f} Validation Loss: {self.valid_loss[-1]:.4f}'
        report_stats(message, channel=self.channel)
    
    # Action at end of training
    def on_train_end(self, logs={}):

        # Post best results
        message = f'Trained for {self.n_epochs} epochs. Best epoch was {best_epoch + 1}.'
        report_stats(message, channel=self.channel)
        message = f'Best validation loss = {valid_loss:.4f} Training Loss = {train_loss:.2f} Validation accuracy = {100*valid_acc:.2f}%'
        report_stats(message, channel=self.channel)