1. Create and activate a virtual environment

   virtualenv MY_ENV
   source MY_ENV/bin/activate

set FLASK_APP=newproj set FLASK_ENV=development

1. Install packages with pip

   cd ad-gpt
   pip install -r requirements.txt

2. Set up your .env file

   • Duplicate .env.example to .env

3. Run the project

   flask --app run app

1. Use Google builds command to create the docker image in the container registry

   gcloud builds submit --tag gcr.io/PROJECT_ID/langchain

2. Create a Cloud Run service

   gcloud run deploy --image gcr.io/PROJECT_ID/langchain --timeout=300 --platform managed

3. Verify the deployed cloud run service in the Google Cloud Console

gcloud builds submit --tag gcr.io/langflow-399804/langchain_wakala
gcloud run deploy --image gcr.io/langflow-399804/langchain_wakala --timeout=300 --platform managed gcloud run services update --memory 1024Mi