Update app.py

app.py

@@ -3394,7 +3394,11 @@ def crear_app():
                         with gr.Row():
                             with gr.Row():
                                 with gr.Column(scale=2):
-                                    html20_1 = gr.HTML(label="Resumen en Tags")
+                                    html19_1_pmt = gr.HTML(label="Resumen en Tags")
+                                with gr.Row(visible=False):
+                                    html19_2_pmt = gr.HTML(label="Resumen en Tags")
+                                # with gr.Column(scale=4):
+                                    html19_3_pmt = gr.HTML(label="Resumen en Tags")
                                 with gr.Column(scale=4):
 
                             
@@ -3497,40 +3501,62 @@ def crear_app():
 
                             ## AJUSTE POR FILTROS DE CATEGORIA
                                 with gr.Column():
-                                    bttn_filtro_categoria.click(
+                                    bttn_filtro_categoria_pmt.click(
                                         fn=lambda df, categoria, elementos: df[df[categoria].isin(elementos)] if df is not None else None,
-                                        inputs=[base_ods_mass_mix, categorias_mass, filtro_categoria],
-                                        outputs=[base_ods_mass_mix_cat]
+                                        inputs=[base_ods_mass_mix_pmt, categorias_mass_pmt_pmt, filtro_categoria_pmt],
+                                        outputs=[base_ods_mass_mix_cat_pmt]
                                     )
 
-                                    bttn_filtro_categoria.click(
+                                    bttn_filtro_categoria_pmt.click(
                                         fn=lambda df, categoria, elementos: df[df[categoria].isin(elementos)] if df is not None else None,
-                                        inputs=[base_meta_mass_mix, categorias_mass, filtro_categoria],
-                                        outputs=[base_meta_mass_mix_cat]
+                                        inputs=[base_meta_mass_mix_pmt, categorias_mass_pmt, filtro_categoria_pmt],
+                                        outputs=[base_meta_mass_mix_cat_pmt]
                                     )
 
-                                    bttn_filtro_categoria.click(
+                                    bttn_filtro_categoria_pmt.click(
                                         fn=lambda df, categoria, elementos: df[df[categoria].isin(elementos)] if df is not None else None,
-                                        inputs=[base_indicadores_mass_mix, categorias_mass, filtro_categoria],
-                                        outputs=[base_indicadores_mass_mix_cat]
+                                        inputs=[base_indicadores_mass_mix_pmt, categorias_mass_pmt_pmt, filtro_categoria_pmt],
+                                        outputs=[base_indicadores_mass_mix_cat_pmt]
                                     )        
 
-                                    base_ods_mass_mix_cat.change(
+                                    base_ods_mass_mix_cat_pmt.change(
                                         fn=tab_viz19,
-                                        inputs=[base_ods_mass_mix_cat, base_meta_mass_mix_cat, base_indicadores_mass_mix_cat],
-                                        outputs=[html19_1, html19_2, html19_3, exp19]
+                                        inputs=[base_ods_mass_mix_cat_pmt, base_meta_mass_mix_cat_pmt, base_indicadores_mass_mix_cat_pmt],
+                                        outputs=[html19_1_pmt, html19_2_pmt, html19_3_pmt, exp19]
                                     )
 
-                                    base_meta_mass_mix_cat.change(
+                                    base_meta_mass_mix_cat_pmt.change(
                                         fn=tab_viz19,
-                                        inputs=[base_ods_mass_mix_cat, base_meta_mass_mix_cat, base_indicadores_mass_mix_cat],
-                                        outputs=[html19_1, html19_2, html19_3, exp19]
+                                        inputs=[base_ods_mass_mix_cat_pmt, base_meta_mass_mix_cat_pmt, base_indicadores_mass_mix_cat_pmt],
+                                        outputs=[html19_1_pmt, html19_2_pmt, html19_3_pmt, exp19]
                                     )
 
-                                    base_indicadores_mass_mix_cat.change(
+                                    base_indicadores_mass_mix_cat_pmt.change(
                                         fn=tab_viz19,
-                                        inputs=[base_ods_mass_mix_cat, base_meta_mass_mix_cat, base_indicadores_mass_mix_cat],
-                                        outputs=[html19_1, html19_2, html19_3, exp19]
+                                        inputs=[base_ods_mass_mix_cat_pmt, base_meta_mass_mix_cat_pmt, base_indicadores_mass_mix_cat_pmt],
+                                        outputs=[html19_1_pmt, html19_2_pmt, html19_3_pmt, exp19]
+                                    )
+
+                                with gr.Column():
+                                    output_ods_mass_mix.change(
+                                        fn=tab_viz21_pmt,
+                                        #df, nivel, umbral_pareto=0.8, metodo='mixto', sim_prop = 0.75, rank_prop=0.20
+                                        inputs=[output_ods_mass_mix, gr.State('ods'), slider_pareto_ods, gr.State(value='mixto'), slider_prop_sim, slider_prop_rank],
+                                        outputs=[plot_mass_ods_pmt, exp_mass_ods]
+                                    )
+
+                                    output_meta_mass_mix.change(
+                                        fn=tab_viz21_pmt,
+                                        #df, nivel, umbral_pareto=0.8, metodo='mixto', sim_prop = 0.75, rank_prop=0.20
+                                        inputs=[output_meta_mass_mix, gr.State('meta'), slider_pareto_meta, gr.State(value='mixto'), slider_prop_sim, slider_prop_rank],
+                                        outputs=[plot_mass_metas_pmt, exp_mass_metas]
+                                    )
+                                    
+                                    output_indicadores_mass_mix.change(
+                                        fn=tab_viz21_pmt,
+                                        #df, nivel, umbral_pareto=0.8, metodo='mixto', sim_prop = 0.75, rank_prop=0.20
+                                        inputs=[output_indicadores_mass_mix, gr.State('indicador'), slider_pareto_indicador, gr.State(value='mixto'), slider_prop_sim, slider_prop_rank],
+                                        outputs=[plot_mass_indicadores_pmt, exp_mass_indicadores]
                                     )