def show_label_distribution(
    sample_labels: Union[List[str], List[List[str]]],
    all_labels: Optional[Union[List[str], List[List[str]]]] = None,
):
    if sample_labels is not None:
        st.header("Label Distribution")
        label_counts = _collect_label_counts(sample_labels)

        if all_labels is None:
            label_chart = (
                alt.Chart(label_counts, height=500, width=700)
                .mark_bar()
                .encode(
                    alt.X("Label", type="nominal"),
                    alt.Y("Proportion", type="quantitative"),
                )
            )
        else:
            label_counts["Label Set"] = "Sample"
            all_label_counts = _collect_label_counts(all_labels)
            all_label_counts["Label Set"] = "All Documents"
            label_counts = pd.concat([label_counts, all_label_counts])

            label_chart = (
                alt.Chart(label_counts, width=100)
                .mark_bar()
                .encode(
                    alt.X(
                        "Label Set",
                        type="nominal",
                        title=None,
                        sort=["Sample", "All Documents"],
                    ),
                    alt.Y("Proportion", type="quantitative"),
                    alt.Column(
                        "Label", type="nominal", header=alt.Header(labelAngle=0)
                    ),
                    alt.Color("Label Set", type="nominal", legend=None),
                )
            )

        st.altair_chart(label_chart)