Classify Lead Sentiment with Google Gemini and Send WhatsApp Responses via Typeform & Supabase

Automatically classify incoming leads based on the sentiment of their message using Google Gemini, store them in Supabase by category, and send tailored WhatsApp messages via the official WhatsApp Cloud API. ✅ Use Case: This workflow is ideal for sales, onboarding, and customer support teams who want to: Understand the tone and urgency of each lead Prioritize hot leads instantly Send smart, automatic WhatsApp replies based on user sentiment 🧠 How it works: Capture lead via a Typeform webhook Clean and structure the data (name, email, message, etc.) Run sentiment analysis using Google Gemini to classify the message as: Positive → Hot Lead Neutral → Warm Lead Negative → Cold Lead Store lead d

Help me set up the n8n workflow "Classify Lead Sentiment with Google Gemini and Send WhatsApp Responses via Typeform & Supabase" (https://n8n.io/workflows/4322). It uses: Supabase, WhatsApp Business Cloud, Google Gemini Chat Model, Sentiment Analysis. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.