Update app.py

app.py

@@ -22,6 +22,9 @@ mpl.rcParams.update(mpl.rcParamsDefault)
 df = pd.read_parquet('virus_ds.parquet')
 virus = df['Organism_Name'].unique()
 virus = {v: v for v in virus}
+loss_typesss = pd.read_csv("training_data_5.csv")['loss_type'].unique()
+model_typesss = pd.read_csv("training_data_5.csv")['model_type'].unique()
+param_typesss = pd.read_csv("training_data_5.csv")['param_type'].unique()
 
 ############################################################# Filter and Select ########################################################
 def filter_and_select(group):
@@ -131,14 +134,14 @@ with ui.navset_card_tab(id="tab"):
             ui.input_selectize(
                 "param_type",
                 "Select Param Type:",
-                [(df = pd.read_csv("training_data_5.csv")['param_type'].unique()],
+                param_typesss,
                 multiple=True,
-                selected=["14", "70"],
+                
             )
             ui.input_selectize(
                 "model_type",
                 "Select Model Type:",
-                [(df = pd.read_csv("training_data_5.csv")['model_type'].unique()],
+                model_typesss,
                 multiple=True,
                 selected=["pythia", "denseformer"],
             )
@@ -190,14 +193,14 @@ with ui.navset_card_tab(id="tab"):
             ui.input_selectize(
                 "model_type_scale",
                 "Select Model Type:",
-                ["pythia", "denseformer", "evo"],
+                model_typesss,
                 multiple=True,
                 selected=["evo", "denseformer"],
             )
             ui.input_selectize(
                 "loss_type_scale",
                 "Select Loss Type:",
-                ["compliment", "cross_entropy", "headless", "2d", "2d_representation_MSEPlusCE"],
+                loss_typesss,
                 multiple=True,
                 selected=["cross_entropy"],
             )