Update app.py

app.py

@@ -831,49 +831,54 @@ def compare_persistence_homology(dna_sequence1, dna_sequence2):
     return distance
 
 ############################################################# UI #################################################################
+
 ui.page_opts(fillable=True)
-ui.panel_title("How similar are viruses, to themselves and others? Do they have undelying structure?")
-with ui.layout_columns():
-    with ui.card():
-        ui.input_selectize(  
-            "virus_selector",  
-            "Select your viruses:",
-            virus,
-            multiple=True,  
-        )  
-    with ui.card():
-        ui.input_selectize(  
-        "plot_type",  
-        "Select your method:",
-        ["Chaos Game Representation", "2D Line", "ColorSquare", "Persistant Homology", "Wens Method"],
-        multiple=False,  
-    )
-        
-############################################################# Plotting ########################################################
-here = Path(__file__).parent
-@render.plot
-def plot():  
-    #ds = load_dataset('Hack90/virus_tiny')
-    df = pd.read_parquet('virus_ds.parquet')
-    df = df[df['Organism_Name'].isin(input.virus_selector())]
-    # group by virus
-    grouped = df.groupby('Organism_Name')['Sequence'].apply(list)
-    # plot the comparison
-    fig = None
-    if input.plot_type() == "2D Line":
-        fig = plot_2d_comparison(grouped, grouped.index)
-    if input.plot_type() == "ColorSquare":
-        filtered_df = df.groupby('Organism_Name').apply(filter_and_select).reset_index(drop=True)
-        fig = plot_color_square(filtered_df['Sequence'], filtered_df['Organism_Name'].unique())
-    if input.plot_type() == "Wens Method":
-        fig = wens_method_heatmap(df, df['Organism_Name'].unique())
-    if input.plot_type() == "Chaos Game Representation":
-        filtered_df = df.groupby('Organism_Name').apply(filter_and_select).reset_index(drop=True)
-        fig = plot_fcgr(filtered_df['Sequence'], df['Organism_Name'].unique())
-    if input.plot_type() == "Persistant Homology":
-        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
+
+with ui.navset_card_tab(id="tab"):  
+    with ui.nav_panel("Viral Macrostructure"):
+        ui.page_opts(fillable=True)
+        ui.panel_title("Do viruses have underlying structure?")
+        with ui.layout_columns():
+            with ui.card():
+                ui.input_selectize(  
+                    "virus_selector",  
+                    "Select your viruses:",
+                    virus,
+                    multiple=True,  
+                )  
+            with ui.card():
+                ui.input_selectize(  
+                "plot_type",  
+                "Select your method:",
+                ["Chaos Game Representation", "2D Line", "ColorSquare", "Persistant Homology", "Wens Method"],
+                multiple=False,  
+            )
+                
+        ############################################################# Plotting ########################################################
+        here = Path(__file__).parent
+        @render.plot
+        def plot():  
+            #ds = load_dataset('Hack90/virus_tiny')
+            df = pd.read_parquet('virus_ds.parquet')
+            df = df[df['Organism_Name'].isin(input.virus_selector())]
+            # group by virus
+            grouped = df.groupby('Organism_Name')['Sequence'].apply(list)
+            # plot the comparison
+            fig = None
+            if input.plot_type() == "2D Line":
+                fig = plot_2d_comparison(grouped, grouped.index)
+            if input.plot_type() == "ColorSquare":
+                filtered_df = df.groupby('Organism_Name').apply(filter_and_select).reset_index(drop=True)
+                fig = plot_color_square(filtered_df['Sequence'], filtered_df['Organism_Name'].unique())
+            if input.plot_type() == "Wens Method":
+                fig = wens_method_heatmap(df, df['Organism_Name'].unique())
+            if input.plot_type() == "Chaos Game Representation":
+                filtered_df = df.groupby('Organism_Name').apply(filter_and_select).reset_index(drop=True)
+                fig = plot_fcgr(filtered_df['Sequence'], df['Organism_Name'].unique())
+            if input.plot_type() == "Persistant Homology":
+                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
 
 # @render.image  
 # def image():