This is a simple BigQuery DataQna demo that showcases the power of natural language query on BigQuery tables.

• Save your service account credentials json file under secrets folder. Make sure your service account has all the required permissions to execute queries on BigQuery.
• In config.py under src folder, enter your project_name and enter the tables you want to query within tables_list variable. Enter the BigQuery tables in the format 'dataset_name.table_name' separated by commas. For example ['lab.iowa_liquor_sales','lab.chicago_taxi_trips']
• Make sure you have docker installed on your machine. While in the root directory of this project, type docker-compose up to build the docker container.
• Type http:https://localhost:8501/ on your browser to start interacting with the demo