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Teaching you How to Create an AI Chatbot

In this article, I’m thrilled to delve into the exciting world of creating a chatbot using the potent combination of WhatsApp Business API and Chat DPT API with PHP. By the time you reach the end of this article, you’ll have a comprehensive grasp of how to craft a chatbot tailored for WhatsApp using these robust tools. If you’re eager to delve even deeper into the realm of chatbot development, be sure to check out the in-depth insights in the blog link provided in the description.

Creating the WhatsApp App

Let’s dive right in without wasting any time. Allow me to guide you through the process. Here’s my file, and you can observe the file URL in your browser. To kick things off, we need to configure WhatsApp with this API on your Facebook developer account. Head over to the developer section on Facebook and follow these steps:

  1. Click on “Create an App.”
  2. Choose “Other” and then “Business.”
  3. Select “Foreign” and create your app.

Now, let’s move forward and start utilizing the API:

  1. Scroll down and click on “WhatsApp setup.”
  2. Here, you can either create a new business or select an existing one.

Once this is done, your app is set up. Let’s proceed to utilize the API:

  1. Click on “Start using the API.”
  2. You’ll find yourself on the “Get Started” page, where you’ll need the temporary token and a testing phone number provided by Facebook.

Now, let’s start writing the code. But wait, we need to configure the callback URL. This URL needs to be verified by Facebook, and they’ll do so using a token. Let’s start writing the necessary code:

Once this code is in place, let’s proceed to add this URL to the configuration in Facebook.

Configuring the Webhook

Now, let’s navigate to “Webhooks” and configure the event you want to trigger when a message is received. In this case, we’re interested in receiving a message event object, so we’ll subscribe to that. With this in place, our webhook URL is ready to receive messages from WhatsApp.

Here, we’re continuing the process of configuring the API endpoint and crafting an array of data to send to the WhatsApp API. The data includes the recipient’s phone number, the type of message (in this case, a text message), and the content of the message. We then convert the data to JSON and initialize a cURL request.

With our cURL request set up, we specify custom headers that include the necessary authorization token and the content type. We execute the cURL request and handle the response, saving it to a text file for reference.

Conclusion

We’ve covered a substantial part of the code, and you’re well on your way to understanding how to create a chatbot for WhatsApp using PHP, the WhatsApp Business API, and the Chat DPT API. However, we’re not quite done yet! The intricacies of handling the chatbot’s conversation flow, sending and receiving messages, and providing dynamic responses await us.

I appreciate your patience as we navigate through this comprehensive process. Stay tuned for the upcoming segments, where we’ll continue to explore and dissect the code, unraveling the magic behind this innovative chatbot creation. Until then, keep coding and keep innovating!


Here, we’re continuing the process of configuring the API endpoint and crafting an array of data to send to the WhatsApp API. The data includes the recipient’s phone number, the type of message (in this case, a text message), and the content of the message. We then convert the data to JSON and initialize a cURL request.

With our cURL request set up, we specify custom headers that include the necessary authorization token and the content type. We execute the cURL request and handle the response, saving it to a text file for reference.

Ok, let’s Summarize

We’ve covered a substantial part of the code, and you’re well on your way to understanding how to create a chatbot for WhatsApp using PHP, the WhatsApp Business API, and the Chat DPT API. However, we’re not quite done yet! The intricacies of handling the chatbot’s conversation flow, sending and receiving messages, and providing dynamic responses await us.

I appreciate your patience as we navigate through this comprehensive process. Stay tuned for the upcoming segments, where we’ll continue to explore and dissect the code, unraveling the magic behind this innovative chatbot creation. Until then, keep coding and keep innovating!