mosesdaudu001/mnist_predictor_gcp_deploy

1. Write App (Flask, TensorFlow)

• The code to build, train, and save the model is in the test folder.
• Implement the app in main.py

2. Setup Google Cloud

• Create new project
• Activate Cloud Run API and Cloud Build API

3. Install and init Google Cloud SDK

• https://cloud.google.com/sdk/docs/install

4. Dockerfile, requirements.txt, .dockerignore

• https://cloud.google.com/run/docs/quickstarts/build-and-deploy#containerizing

5. Cloud build & deploy

gcloud builds submit --tag gcr.io/random-developments/index
gcloud run deploy --image gcr.io/random-developments/index --platform managed

Test

• Test the code with test/test.py