Data Qna Demo

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

Requirements

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://localhost:8501/ on your browser to start interacting with the demo

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
secrets		secrets
src		src
.gitignore		.gitignore
Data_qna_demo_image.png		Data_qna_demo_image.png
Dockerfile		Dockerfile
Readme.md		Readme.md
app.yaml		app.yaml
docker-compose.yml		docker-compose.yml
requirements.txt		requirements.txt