Update app.py

app.py

@@ -9,20 +9,20 @@ Secret_token = os.getenv('token')
 dataset = load_dataset('FDSRashid/hadith_info',data_files = 'Basic_Edge_Information.csv', token = Secret_token, split = 'train')
 edge_info = dataset.to_pandas()
 
-def subset_city_year(year = 50, city = ['المدينه', 'بغداد', 'كوفة', 'بصرة']):
+def subset_city_year( city = ['المدينه', 'بغداد', 'كوفة', 'بصرة'], year = 50):
   edges = edge_info[(edge_info['Year'] == year) & (edge_info['City'].isin(city))]
   return edges
 
 
 
-def get_narrators(year = 50, city =  ['المدينه', 'بغداد', 'كوفة', 'بصرة']):
+def get_narrators( city =  ['المدينه', 'بغداد', 'كوفة', 'بصرة'], year = 50):
   df = subset_city_year(year, city)
   narrators = edge_info[edge_info['Edge_ID'].isin(df['ID'])]
   return narrators['Edge_Name'].reset_index().drop('index', axis = 1).rename(columns = {'Edge_Name': 'Teacher To Student'})
 
-app = gradio.Interface(get_narrators,
-             [gradio.Dropdown(choices = cities, value = ['المدينه', 'بغداد', 'كوفة', 'بصرة'], multiselect=True),
-                        gradio.Slider(min_year, max_year, value = 0, label = 'Begining', info = 'Choose The Year to Retrieve Narrators'),
+app = gr.Interface(get_narrators,
+             [gr.Dropdown(choices = cities, value = ['المدينه', 'بغداد', 'كوفة', 'بصرة'], multiselect=True),
+                        gr.Slider(min_year, max_year, value = 50, label = 'Begining', info = 'Choose The Year to Retrieve Narrators'),
                         ],
                        gr.Dataframe()).launch()