still type issue, try values

app.py

@@ -90,8 +90,10 @@ def quantize_embeds(embeds):
     return quantized_embeds, closest_bin
 
 def update_exemplars(df, rng, exemplars, lut):
-    print(df[['image_embed']], df[['image_embed']].to_numpy())
-    embeds = df[['image_embed']].to_numpy()
+    print(df[['image_embed']], df[['image_embed']].to_numpy().shape)
+    print(np.array(df['image_embed'].values.tolist()).shape)
+    embeds = np.array(df['image_embed'].values.tolist()) # df[['image_embed']].to_numpy()
+    print(df['labels'].to_numpy())
     labels = df[['label']].to_numpy().astype('int')
     print(labels)
     print(embeds)