Update app.py

app.py

@@ -990,14 +990,14 @@ with ui.navset_card_tab(id="tab"):
                     "Select Model Type:",
                     ["pythia", "denseformer"],
                     multiple=True,
-                    selected='pythia'
+                    selected=['pythia','denseformer']
                 )
             ui.input_selectize(
                     "loss_type",
                     "Select Loss Type:",
                     ["compliment", "cross_entropy", "headless"],
                     multiple=True,
-                    selected='compliment'
+                    selected=["compliment", "cross_entropy", "headless"]
                 )
             def plot_loss_rates_model(df, param_types, loss_types, model_types): 
                 # interplot each column to be same number of points
@@ -1009,7 +1009,7 @@ with ui.navset_card_tab(id="tab"):
                 for param_type in param_types:
                     for loss_type in loss_types:
                         for model_type in model_types:
-                            y = df[df['param_type'].isin(param_type) & df['loss_type'].isin(loss_type) & df['model_type'].isin(model_type)]['loss'].dropna().astype('float', errors = 'ignore').dropna().values
+                            y = df[df['param_type'] ==param_type & df['loss_type'] == loss_type & df['model_type'] == model_type]['loss'].dropna().astype('float', errors = 'ignore').dropna().values
                             f = interp1d(np.linspace(0, 1, len(y)), y)
                             loss_rates.append(f(x))
                             labels.append(param_type +'_'+loss_type +'_'+model_type)