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1. Initialize the project

3. Build CI for the workflow interactively

streamlit run config_ci.py

Add Action -> Create a new CI Action -> Add Jobs -> Manual Run You can build the workflow interactively with the UI:

streamlit run config_ci.py
add_ci.-.Made.with.Clipchamp.mp4

4. Use a new version of input dataset

dataci dataset save -n text_cls_raw s3://dataci-shared/text_cls_v2/train.csv
dataci dataset publish text_cls_raw@2d

And configure the workflow to use the new dataset version using the UI: Input Data -> Select the input dataset -> Select the new version -> Use this version

You can see the configured CI is automatically triggered.

5. Use a new version of the text augmentation method

python text_aug_stage_v2.py

And configure the workflow to use the new stage version using the UI: Edit -> Select the stage -> Select the new version -> Use this version

You can see the configured CI is automatically triggered.