Update app.py

app.py

@@ -869,7 +869,7 @@ with ui.navset_card_tab(id="tab"):
         import matplotlib as mpl
         @output(suspend_when_hidden=True)
         @render.plot(output_id="plot_macro_output")
-        def plot():  
+        def plot_macro():  
             #ds = load_dataset('Hack90/virus_tiny')
             df = pd.read_parquet('virus_ds.parquet')
             df = df[df['Organism_Name'].isin(input.virus_selector())]
@@ -893,7 +893,7 @@ with ui.navset_card_tab(id="tab"):
                 filtered_df = df.groupby('Organism_Name').apply(filter_and_select).reset_index(drop=True)
                 fig = plot_persistence_homology(filtered_df['Sequence'], filtered_df['Organism_Name'])
             return fig
-        ui.output_plot("plot_macro_output")
+       # ui.output_plot("plot_macro_output")
    # with ui.nav_panel("Viral Model"):
   #      gr.load("models/Hack90/virus_pythia_31_1024").launch()
 
@@ -915,7 +915,7 @@ with ui.navset_card_tab(id="tab"):
         import matplotlib as mpl
         @output(suspend_when_hidden=True)
         @render.plot(output_id="plot_micro_output")
-        def plot():  
+        def plot_micro():  
             df = pd.read_csv('kmers.csv')
             k = input.kmer()
             top_k = input.top_k()
@@ -940,7 +940,7 @@ with ui.navset_card_tab(id="tab"):
                 ax.set_ylabel("Percentage")
                 ax.set_xticklabels(df['kmer'], rotation=90)
             return fig
-        ui.output_plot("plot_micro_output")
+        #ui.output_plot("plot_micro_output")
     # with ui.nav_panel("Viral Model Training"):    
     #     ui.page_opts(fillable=True)
     #     ui.panel_title("Does context size matter for a nucleotide model?")