Part 6: BONUS – Connecting to AppSheet or Cloud Run UI (Optional Frontend)

🎨 Part 6: BONUS – Connecting to AppSheet or Cloud Run UI

Add a Frontend to Your AI – No Code or Low Code via Google Tools


In Part 6 of RainPredict-AI, we turn our AI model into an actual **app or interface**! Whether you want a **Google Sheets-style form** or a simple **web frontend**, you now have two amazing options:

  • AppSheet: A no-code platform to connect your model to forms & dashboards
  • Cloud Run UI: A lightweight Flask (Python) app hosted via Google Cloud

📱 Option 1: Using AppSheet (No Code)

AppSheet is perfect if you want users to input weather data and receive predictions directly in a mobile or web app, without writing any code.

  1. Create a new Google Sheet with columns: Temperature, Humidity, Pressure, Prediction
  2. Go to AppSheet → Sign in with Google → Start a new app from your sheet
  3. Set up a simple form with the first 3 fields as inputs
  4. Use Apps Script or Webhook to send data to your Vertex AI Endpoint (from Part 5)
  5. Display the returned prediction in the sheet and sync it back to the app

🎁 This method is best for mobile access, internal users, or client demos!


💻 Option 2: Cloud Run + Python Frontend (Low Code)

Already familiar with HTML or Flask? Create a simple web form, connect it to your deployed model using Google Auth + Vertex API call.

  1. Use a basic Flask app with 3 input fields and 1 submit button
  2. Send the form input to your Vertex AI Endpoint via REST call (same JSON from Part 5)
  3. Display the predicted rainfall below the form in the same page
  4. Deploy using gcloud run deploy — easy, managed hosting

📍 Pro Tip: You can deploy a static HTML+JS form too and use Firebase or Google OAuth for auth.


✨ Final Insights

  • You’ve now gone full-stack: from data → ML model → deployed API → working frontend
  • AppSheet = zero code. Cloud Run = full control. Pick what suits your audience!
  • This is a real-world AI deployment — enterprise ready and resume-worthy

🎉 You are now ready for the final recap — your entire AI product is complete!


⏭️ Up Next: Final – Complete Summary, Architecture Diagram, and Blogger Links

We’ll give you a full system recap, visuals to show your workflow, and links to all RainPredict-AI posts in one final landing page 📘.

🧠 Ready to showcase your AI product with confidence? Let’s wrap it all up next!

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