updated details

app.py

@@ -164,8 +164,8 @@ def plot_embedding(domain, partition, category):
         has_image = 'image' in merged_df
         chart = alt.Chart(merged_df).mark_point(size=30, filled=True).encode(
             alt.OpacityValue(0.5),
-            alt.X('x:Q'), 
-            alt.Y('y:Q'),
+            alt.X('x:Q', title="UMAP Component 1"), 
+            alt.Y('y:Q', title="UMAP Component 2"),
             alt.Color(f'{category}:N'),
             tooltip=['question', 'answer'] + (['image'] if has_image else []),  
         ).properties(
@@ -985,7 +985,7 @@ def plot_performance_for_selected_tasks(domain, partition, df, query_type, model
         
         num_columns = len(df[f'{vis_category}'].unique())
         chart = alt.Chart(df).mark_bar().encode(
-            alt.X(f'{vis_category}:N', sort=alt.EncodingSortField(field=f'score', order='ascending', op=task_agg), axis=alt.Axis(labelAngle=-20)), # no title, no label angle),
+            alt.X(f'{vis_category}:N', sort=alt.EncodingSortField(field=f'score', order='ascending', op=task_agg), axis=alt.Axis(labelAngle=-45)), # no title, no label angle),
             alt.Y(y_val, scale=alt.Scale(zero=True), title=y_title),
             alt.Color(f'{vis_category}:N').legend(None),
         ).properties(