Building and Deploying a DialogFlow Chatbot on Google Cloud
Introduction In this blog post, I’ll walk you through my journey of building a restaurant chatbot using DialogFlow and deploying it on Google Cloud Platform. I wanted to understand conversational AI, especially concepts like large language models (LLMs). While exploring, I realized that Dialogflow provides a great starting point to experiment. Getting Started with DialogFlow After reading “The Definitive Guide to Conversational AI with DialogFlow and Google Cloud,” I decided to get hands-on experience. I followed this helpful tutorial as my starting point - https://youtu.be/2e5pQqBvGco?si=bpD5si5nfs8SxeVd Technical Stack For this project, I used: Frontend: Basic HTML/CSS/JavaScript (generated with ChatGPT) Backend: FastAPI Database: MySQL Development Tools: Ngrok for local testing Building the Chatbot Key Steps: Create a New Agent: Start by creating a new project in Dialogflow, which acts as your agent. 2. Core Concepts: Understand and implement Dialogflow’s primary c...