NA

app.py

@@ -160,15 +160,15 @@ def setup_db():
         hf_token = os.getenv('HF_TOKEN')
 
         # Load data into ev_population table
-        df = load_dataset("vectara/ev-dataset", data_files="Electric_Vehicle_Population_Data.csv", use_auth_token=hf_token)['train'].to_pandas()
+        df = load_dataset("vectara/ev-dataset", data_files="Electric_Vehicle_Population_Data.csv", token=hf_token)['train'].to_pandas()
         df.to_sql('ev_population', conn, if_exists='replace', index=False)
 
         # Load data into county_registrations table
-        df = load_dataset("vectara/ev-dataset", data_files="Electric_Vehicle_Population_Size_History_By_County.csv", use_auth_token=hf_token)['train'].to_pandas()
+        df = load_dataset("vectara/ev-dataset", data_files="Electric_Vehicle_Population_Size_History_By_County.csv", token=hf_token)['train'].to_pandas()
         df.to_sql('county_registrations', conn, if_exists='replace', index=False)
 
         # Load data into ev_registrations table
-        df = load_dataset("vectara/ev-dataset", data_files="Electric_Vehicle_Title_and_Registration_Activity.csv", use_auth_token=hf_token)['train'].to_pandas()
+        df = load_dataset("vectara/ev-dataset", data_files="Electric_Vehicle_Title_and_Registration_Activity.csv", token=hf_token)['train'].to_pandas()
         df.to_sql('ev_registrations', conn, if_exists='replace', index=False)
 
         # Commit changes and close connection