Update app.py

app.py

@@ -69,7 +69,7 @@ def make_profession_table(num_clusters, prof_names, mod_name):
     cl_df = clusters_by_size[num_clusters]
     clusters_df = cl_df[df_models[mod_name]].apply(pd.Series).loc[prof_names]['cluster_proportions'].apply(pd.Series).reset_index().rename(columns={"index":"profession"})
     labor_df = cl_df[df_models[mod_name]].apply(pd.Series).loc[prof_names]['labor_fm'].apply(pd.Series).rename(columns={0:"female", 1:"male"}).reset_index().rename(columns={"index":"profession"})
-    return clusters_df.T, labor_df.T
+    return clusters_df, labor_df
     # cl_df = pd.DataFrame.from_dict(cl_dct)
     # print(mod_names)
     # mod_df = pd.DataFrame(cl_df[df_models[mod_names]])
@@ -135,6 +135,13 @@ with gr.Blocks() as demo:
                 profession_choice = gr.Dropdown(
                     choices=professions, label="Select profession:"
                 )
+
+                profession_choice.change(
+                    make_profession_table,
+                    [num_clusters, profession_choices_1,model_choices],
+                    [table, labor_table],
+                    queue=False,
+                )
             with gr.Column():
                 plot = gr.Plot(
                     label=f"Makeup of the cluster assignments for profession {profession_choice}"