import datetime
import os
import pprint
from time import sleep
import altair as alt
import duckdb
import geopandas as gpd
import gspread
import matplotlib.pyplot as plt
import pandas as pd
import pyarrow.compute as pc
import xarray as xr
from google.auth import default
from google.auth.transport.requests import Request
from google.cloud import bigquery
from google.colab import auth, drive, runtime, sheets, userdata
from google.oauth2 import service_account
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
drive.mount("/content/drive")
auth.authenticate_user()
creds, _ = default()
gc = gspread.authorize(creds)
drive_service = build("drive", "v3", credentials=creds)
docs_service = build("docs", "v1", credentials=creds)
sheets_service = build("sheets", "v4", credentials=creds)
slides_service = build("slides", "v1", credentials=creds)
from google.colab import userdata
API_KEY = userdata.get("API_KEY")
!mkdir ~/.kaggle
!cp kaggle.json ~/.kaggle/
!chmod 600 ~/.kaggle/kaggle.json
from google.colab import files
files.download("best_model_HDF5_format.h5")
Click on RAM/disk on right to change to a GPU
streamlit
# Write streamlit code then
!streamlit run /usr/local/lib/python3.11/dist-packages/colab_kernel_launcher.py
!pip install -q -U PACKAGE
!pip install -q condacolab
import condacolab
condacolab.install()