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After this point, you can start prepping your virtual AI assistant.An agent is an assistant that you create and teach specific skills to.We’re choosing between two popular platforms when building our chatbot: Dialogflow and Dialogflow (once known as is a service owned by Google that allows developers to build speech to text, natural language processing and artificially intelligent systems that you can train with your own custom functionality.To do that, create a file at helpers directory and name it process First, we have to initialize apiai Client with the API key, to retrieve it, click the Configuration icon (gear) at the left menu and copy “Client Access Token”. If you look at the code, your webhook server received the information from a user via Facebook Messenger, then passed the text content to Dialogflow.Once it responded, the response event was triggered, and the result was sent back to Facebook Messenger.

We’re then taken to a registration page, where you can log in with your Google Account.

Today, I’m going to show you exactly how to do that! Chatbots are computer programs that mimic conversation with people through the use of artificial intelligence.

We’ll build a chatbot with rich NLP features using Dialogflow,, and In a nutshell, when someone types in a message, the bot responds with the right reply.

Once you finish reading and installing ngrok, open another terminal window and position it in the directory of your project (meanwhile your local server is running) and type the following command: It’ll show you a new screen with a couple of URLs, the URL that you’ll need is the last one that starts with https://cf86…Before continuing to send requests to Facebook, let’s create our Facebook app.

To create a Facebook bot, we need to two things: Until this moment our Facebook Application is well connected and working correctly, but we aren’t quite finished yet.

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