<ul><li>Step 1: Build the Flask App - This step involves creating a Flask application in Python that utilizes the OpenAI API to generate a summary of a given keyword.</li><li>Step 2: Deploying the service with Cloud Run - This step involves building a Docker image, storing it in the Google Cloud Artifact Registry, and using Cloud Build to automate the build, test, and deployment of the application.</li><li>Step 3: Checking the Build - During the build process, the build status can be checked using the generated log links in the Cloud Build UI.</li><li>Step 4: Accessing the App - Once the build is successful, the deployed service can be accessed using the Cloud Run console, which provides a URL for the deployment.</li><li>Conclusion - This article highlights the process of building a Flask application on GCP, integrating various GCP services to create a secure and scalable solution with AI capabilities.</li></ul>

From Code to Cloud: Deploying Your AI App with Flask, OpenAI, and Google Cloud Platform

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