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 upto build the docker container. - Type
http://localhost:8501/on your browser to start interacting with the demo
