Update app.py

app.py

@@ -76,7 +76,7 @@ demo_tasks = ['I want to group my data by obs_name_example and '
               'the basis and the YlOrRd color map. Then, I want to '
               'make a 2D projection of my data and visualize the explained variance using 5 principal '
               'components without returning additional info.',
-              "Infer the cell cycle from snapshot data using sc.tl.dpt with n_dcs=10, n_branchings=0, min_group_size=0.01, allow_kendall_tau_shift=True, neighbors_key=None, and copy=False. Then filter out genes with a log fold change of at least 1 and a fraction of genes",
+              "Infer the cell cycle from snapshot data using sc.tl.dpt with n_dcs=10, n_branchings=0, min_group_size=0.01, allow_kendall_tau_shift=True, neighbors_key=None, and copy=False. Then filter out genes using sc.tl.filter_rank_genes_groups with a log fold change change of at least 1 and a fraction of genes expressing the gene within the groupby categories of at least 0.25 and a fraction of genes expressing the gene outside the groupby categories of no more than 0.5 ,and key='rank_genes_groups', key_added='rank_genes_groups_filtered'.",
               "Bob's professor asked him to first filter out cells with less than 500 counts and more than 10 genes expressed. Then, find the top 30 genes with the highest mean fraction over all cells, plot the results in a log scale, and show the results.",
               'I want to filter out genes with fewer than 5 expressions.',
               'Can you show me how to compute UMAP embedding?']+load_obj('demo_tasks.list')[:30]