Deploy App to Google Run
Budget: €8 – €50 EUR
To-Do for Development Team:
Containerization of Streamlit App for Google Cloud Run:
Task: Create a Docker container for the Streamlit application.
Details: Develop a Dockerfile that specifies the app's environment and dependencies. This file is essential for containerizing the Streamlit app, making it suitable for deployment on Google Cloud Run.
Deployment on Google Cloud Run:
Task: Deploy the containerized Streamlit app on Google Cloud Run.
Details: Utilize Google Cloud Run, a serverless platform, to deploy the app. Ensure the deployment allows the app to run as a stateless container, accessible through web requests or Pub/Sub events.
Setting Up API Endpoints in Streamlit App:
Task: Define and expose API endpoints within the Streamlit application.
Details: Integrate specific API endpoints in the Streamlit app, if not already present. These should be designed to handle requests from the Flutter frontend. Consider using a framework like Flask or FastAPI in conjunction with Streamlit for managing RESTful API requests. This is crucial for enabling interaction between the Streamlit app and the Flutter frontend.
Containerization of Streamlit App for Google Cloud Run:
Task: Create a Docker container for the Streamlit application.
Details: Develop a Dockerfile that specifies the app's environment and dependencies. This file is essential for containerizing the Streamlit app, making it suitable for deployment on Google Cloud Run.
Deployment on Google Cloud Run:
Task: Deploy the containerized Streamlit app on Google Cloud Run.
Details: Utilize Google Cloud Run, a serverless platform, to deploy the app. Ensure the deployment allows the app to run as a stateless container, accessible through web requests or Pub/Sub events.
Setting Up API Endpoints in Streamlit App:
Task: Define and expose API endpoints within the Streamlit application.
Details: Integrate specific API endpoints in the Streamlit app, if not already present. These should be designed to handle requests from the Flutter frontend. Consider using a framework like Flask or FastAPI in conjunction with Streamlit for managing RESTful API requests. This is crucial for enabling interaction between the Streamlit app and the Flutter frontend.