marimo-batch

from pydantic import BaseModel, Field

class ModelParams(BaseModel):
    sample_size: int = Field(
        default=1024 * 4, description="Number of training samples per epoch."
    )
    learning_rate: float = Field(default=0.01, description="Learning rate for the optimizer.")

el = mo.md("""
{sample_size} 
{learning_rate}
""").batch(
    sample_size=mo.ui.slider(1024, 1024 * 10, value=1024 * 4, step=1024, label="Sample size"),
    learning_rate=mo.ui.slider(0.001, 0.1, value=0.01, step=0.001, label="Learning rate"),
).form()
el

if mo.app_meta().mode == "script":
    model_params = ModelParams(
        **{k.replace("-", "_"): v for k, v in mo.cli_args().items()
    })
else: 
    model_params = ModelParams(**el.value)

uv run notebook.py --sample-size 4096 --learning-rate 0.005