Seamlessly Integrate Automated Alerts and Human Interaction into Your ML Pipelines with ZenML's Discord Integration
The ZenML Discord integration empowers you to enhance your machine learning workflows by enabling automated alerts and human-in-the-loop interactions directly from your pipelines. Seamlessly post messages to dedicated Discord channels, receive notifications on pipeline events, and incorporate user feedback for critical decision-making.
You need to first setup a Discord bot in your workspace and have a channel with its ID where you want to post messages to. Once you’re ready with the details, you can register your Discord alerter stack component in ZenML, as follows.
zenml alerter register discord_alerter \
--flavor=discord \
--discord_token=<DISCORD_TOKEN> \
--default_discord_channel_id=<DISCORD_CHANNEL_ID>from zenml.integrations.discord.steps.discord_alerter_post_step import discord_alerter_post_step
from zenml import step, pipeline
@step
def generate_alert_message(accuracy: float) -> str:
return f"Model training completed with accuracy: {accuracy:.2f}"
@pipeline
def discord_alerts_pipeline(accuracy: float):
message = generate_alert_message(accuracy)
discord_alerter_post_step(message)
if __name__ == "__main__":
# Ensure the discord integration is installed
# zenml integration install discord -y
# Register the discord alerter
# zenml alerter register discord_alerter --flavor=discord --discord_token=<DISCORD_TOKEN> --default_discord_channel_id=<DISCORD_CHANNEL_ID>
# Add the discord alerter to your stack
# zenml stack update -al discord_alerter
discord_alerts_pipeline(accuracy=0.87)
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