I am going to use Flask (a light-weight python web framework ) for creating a webhook. Pip install Flask ( ) Creating webhook using Python Install Pythonĭownload and install python from here as per your supported OS. Let’s start building our own Dialogflow agent with webhook using Python and deploy it using Ngrok. We are going to use Ngrok, (a web tunneling tool) that can be used to check webhooks from your local server. The information from the intent is passed to the webhook service to receive result. In Dialogflow, a webhook can be used to fetch data from your server whenever a certain intent having webhook enabled (don’t worry, we will see that) is invoked. A webhook can be created in any server side programming language like Python, PHP or Node.js.
What is webhook?Ī webhook is an HTTP request that is sent automatically whenever certain criteria is fulfilled. Let’s dig deeper into webhook to understand how it works and what benefits a chatbot developer can leverage using it. Fulfillment is deployed as a webhook which is supplied information extracted by Dialogflow’s natural language processing (NLP). Using Fulfillment you can communicate with your server/database to generate dynamic responses. In this blog, we are going to take a look into one pretty useful feature of Dialogflow: Fulfillment. The feature rich Dialogflow lets you create chatbot with ease. It is powered by a Machine Learning based NLU (Natural Language Understanding). Dialogflow is a chatbot building framework that helps you build and deploy your own chatbots to multiple platforms like Google Assistant, Facebook Messenger, Telegram, Twitter, Slack, Line, Viber and many others.
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