Update untappd_app.py

untappd_app.py

@@ -18,16 +18,16 @@ from datasets import Dataset, load_dataset
 
 #Load DFs
 
-# #Set up DF for filtered beers
-# bb_df = pd.read_csv('beer_brewery_imputed.csv')
+#Set up DF for filtered beers
+bb_df = pd.read_csv('beer_brewery_imputed.csv')
 
-# #Set up DF for percentiles (currently only includes beers with 500 or more reviews)
-# bb_df_percentile = pd.read_csv('bb_df_testing.csv')
+#Set up DF for percentiles (currently only includes beers with 500 or more reviews)
+bb_df_percentile = pd.read_csv('bb_df_testing.csv')
                             
-# #Set up DF for Aslin Examples
-# aslin_example_df_full = pd.read_csv('App_Example_Aslin.csv')
-# aslin_example_df = aslin_example_df_full.drop(['Brewery', 'Number of Ratings Beer'], axis=1)
-# aslin_example_df['ABV'] = aslin_example_df['ABV']*100
+#Set up DF for Aslin Examples
+aslin_example_df_full = pd.read_csv('App_Example_Aslin.csv')
+aslin_example_df = aslin_example_df_full.drop(['Brewery', 'Number of Ratings Beer'], axis=1)
+aslin_example_df['ABV'] = aslin_example_df['ABV']*100
 
 
 #Open individual Brewery list