update

app.py

@@ -80,23 +80,17 @@ def _(mo, texts, tfm):
     return (X,)
 
 
-@app.cell
-def _(PCA, X, mo):
-    with mo.status.spinner(subtitle="Running PCA ...") as _spinner:
-        pca_tfm = PCA()
-        X_tfm = pca_tfm.fit_transform(X)
-    return X_tfm, pca_tfm
-
-
 @app.cell
 def _(add_label, get_example, mo, neg_label, pos_label):
     btn_spam = mo.ui.button(
         label=f"Annotate {neg_label.value}", 
-        on_click=lambda d: add_label(get_example(), neg_label.value)
+        on_click=lambda d: add_label(get_example(), neg_label.value), 
+        keyboard_shortcut="Ctrl-L"
     )
     btn_ham = mo.ui.button(
         label=f"Annotate {pos_label.value}", 
-        on_click=lambda d: add_label(get_example(), pos_label.value)
+        on_click=lambda d: add_label(get_example(), pos_label.value),
+        keyboard_shortcut="Ctrl-K"
     )
     return btn_ham, btn_spam
 
@@ -177,13 +171,11 @@ def _(get_label, mo):
 
 
 @app.cell
-def _(X, X_tfm, cosine_similarity, form, mo, pl, texts, tfm):
+def _(X, cosine_similarity, form, mo, pl, texts, tfm):
     mo.stop(not form.value["text_input"], "Need a text input to fetch example")
 
     df_emb = (
         pl.DataFrame({
-            "x": X_tfm[:, 0], 
-            "y": X_tfm[:, 1], 
             "index": range(X.shape[0]), 
             "text": texts
         }).with_columns(sim=pl.lit(1))