Python & Cloud Synergy: Advanced Techniques with Google Gemini

Welcome to "Python & Cloud Synergy: Advanced Techniques with Google Gemini” – an innovative workshop tailored for professionals eager to explore the realms of cloud computing and AI.

Overview

This repository features a Cloud Run application utilizing the Streamlit Framework, showcasing the integration with the Vertex AI Gemini API.

DEMO Link: https://gemini-streamlit-app-ido3ocn3pq-uc.a.run.app/

Local Deployment (Cloud Shell)

Note: Before proceeding, make sure to Navigate to the folder as your active working directory.

Set up the Python virtual environment and install dependencies:

python3 -m venv gemini-streamlit
source gemini-streamlit/bin/activate
pip install -r requirements.txt

Set environment variables:

GCP_PROJECT: Your Google Cloud project ID.** GCP_REGION: The region where you deploy your Cloud Run app (e.g., us-central1).

export GCP_PROJECT='<Your GCP Project Id>'  # Replace with your project ID
export GCP_REGION='us-central1'             # Modify if needed

Run the application locally:

streamlit run app.py \
  --browser.serverAddress=localhost \
  --server.enableCORS=false \
  --server.enableXsrfProtection=false \
  --server.port 8080

Access the application URL provided in Cloud Shell's web preview or open it in your browser. Build and Deploy to Cloud Run

Set up environment variables for Cloud Run:

GCP_PROJECT: Your Google Cloud project ID. GCP_REGION: The region where you deploy your Cloud Run app (e.g., us-central1).

export GCP_PROJECT='<Your GCP Project Id>'  # Replace with your project ID
export GCP_REGION='us-central1'             # Modify if needed

Build the Docker image and push it to Artifact Registry:

export AR_REPO='<REPLACE_WITH_YOUR_AR_REPO_NAME>'  # Replace with your Artifact Registry repository name
export SERVICE_NAME='gemini-streamlit-app'         # Customize your application and Cloud Run service name

gcloud artifacts repositories create "$AR_REPO" --location="$GCP_REGION" --repository-format=Docker
gcloud auth configure-docker "$GCP_REGION-docker.pkg.dev"
gcloud builds submit --tag "$GCP_REGION-docker.pkg.dev/$GCP_PROJECT/$AR_REPO/$SERVICE_NAME"

Deploy the service to Cloud Run:

gcloud run deploy "$SERVICE_NAME" \
  --port=8080 \
  --image="$GCP_REGION-docker.pkg.dev/$GCP_PROJECT/$AR_REPO/$SERVICE_NAME" \
  --allow-unauthenticated \
  --region=$GCP_REGION \
  --platform=managed  \
  --project=$GCP_PROJECT \
  --set-env-vars=GCP_PROJECT=$GCP_PROJECT,GCP_REGION=$GCP_REGION

Upon successful deployment, access the provided URL to explore the newly deployed Cloud Run application. Congratulations!