Update app.py

app.py

@@ -239,6 +239,7 @@ DATASET_CATEGORIES = {
         "D197": "Star Classification"
     }
 }
+cats1 = list(DATASET_CATEGORIES.keys())
 import pandas as pd
 from scipy.stats import ttest_rel
 
@@ -423,7 +424,7 @@ def compare_ind(med, game, ed, bank, sci, social, ml, other, models_to_compare=N
   dropdowns = [med, game, ed, bank, sci, social, ml, other]
   selected_datasets_keys = []
 
-  for cat_name, dropdown_values in zip(cats, dropdowns):
+  for cat_name, dropdown_values in zip(cats1, dropdowns):
       if dropdown_values:
           selected_datasets_keys.extend(get_keys(DATASET_CATEGORIES[cat_name], dropdown_values))
 
@@ -502,7 +503,6 @@ def compare_groups(data_choice, model1, model2):
 
   return fig, "\n".join(p_values_text)
 import gradio as gr
-cats1 = list(DATASET_CATEGORIES.keys())
 models = ["RandomForest", "DecisionTree", "KNN", "SVM", "LogisticRegression"]
 with gr.Blocks() as demo:
   with gr.Tabs() as tabs: