Deploying Shiny Python on Cloud Run on GCP with Macbook M1 and later

app.py

## Hello world example
## https://shiny.posit.co/py/docs/overview.html

from shiny import App, ui

# Part 1: ui ----
app_ui = ui.page_fluid(
    "Hello, world!",
)

# Part 2: server ----
def server(input, output, session):
    ...

# Combine into a shiny app.
# Note that the variable must be "app".
app = App(app_ui, server)

docker_ops.sh

## Pre-ops
## This document assumes you have full access to GCP, Cloud Run and relevant services
## See here for more https://gist.github.com/berkorbay/9536e54aa18229fa2663ad78b15ae533

## Put app.py and Dockerfile in a folder first and then run the following lines on your terminal

## For Macbook M1 use buildx
## https://stackoverflow.com/a/68766137/3608936
docker buildx build --platform linux/amd64 . -t pyshiny-demo:latest --load 

## Suppose your GCP project name is pyshiny-cloudrun-example
docker tag pyshiny-demo:latest gcr.io/pyshiny-cloudrun-example/pyshiny-demo:latest

## Push to GCP container instances
docker push gcr.io/pyshiny-cloudrun-example/pyshiny-demo:latest

## Suppose your Cloud Run service name is pyshinyexample
## --session-afinity is required for sticky sessions
## https://cloud.google.com/run/docs/configuring/session-affinity
gcloud run deploy pyshinyexample --image gcr.io/pyshiny-gcr-example/pyshiny-demo:latest --session-affinity

Dockerfile

FROM python:3.10-slim

ENV APP_HOME /app
WORKDIR $APP_HOME

# Allow statements and log messages to immediately appear in the Knative logs
ENV PYTHONUNBUFFERED True
ENV PORT 8080

RUN pip install --no-cache-dir --upgrade shiny
# Copy the app
COPY . .

# Run app on port 8080
EXPOSE ${PORT}
CMD exec uvicorn app:app --host 0.0.0.0 --port ${PORT}