Most information from - Connect Streamlit to Google Cloud Storage

Create a service role for viewing data

Modify the code

• Save the json file in a toml file and format instead. Will use it later.

• pip install st_files_connection

• In the code

  from st_files_connection import FilesConnection
  

  Use conn.fs to access the underlying FileSystem object API. (https://github.com/streamlit/files-connection)

  conn = st.connection("gcs", type=FilesConnection)
  fs = conn.fs  # Get the underlying fsspec filesystem
  covid_files = fs.glob(f'gs://{BUCKET_NAME}/final_project/data/processed_data/covid_*_all.csv')
  covid_files_US = fs.glob(f'gs://{BUCKET_NAME}/final_project/data/processed_data/covid_*_US.csv')
  flight_files = fs.glob(f'gs://{BUCKET_NAME}/final_project/data/processed_data/flight_*_US.csv')
  
  df_covid_month = pd.concat([pd.read_csv(fs.open(file)) for file in covid_files], ignore_index=True)
  

  Refer to the code for examples: https://github.com/YC-1412/CISC525_final_project/blob/25612ce9b979c7938cf40ac21f32cde942848823/deployment/src/streamlit_app_V2_1.py#L20-L48

Deploy

• Paste the URL to the streamlit.py file

• Copy the info from toml file here. Any environment variables are saved there as well as below.

• Done!