Create Your Own Chat Bot with Dialogflow (API.AI)

Create Your Own Chat Bot with Dialogflow (API.AI)

Table of Contents

  1. Introduction
  2. Setting up the Project
  3. Designing the Layout
  4. Recording Audio and Text Views
  5. Prompting Speech Input
  6. Making a Post Request to the API
  7. Processing the Returned Data
  8. Calling the getText Method
  9. Background Execution with AsyncTask
  10. Conclusion

🎉 Introduction

Hey friends! Welcome back to another video by Marsha Donna. In our previous video, we started building a new project - a chatbot app. The app is designed to respond to user queries regarding events. In the last video, we focused on the console-side work and API integration. In today's video, we will be implementing the chatbot agent inside our Android application.

🔧 Setting up the Project

To get started, let's set up our project. I have already done the design work and provided the code on my GitHub repository. You can find the link in the video description. If you prefer to Create your own layout, simply create a button to Record audio and two text views to display user input and the agent's response.

💡 Designing the Layout

In this section, I will explain the XML layout I've built for the app. Open the MainActivity.java file and access the necessary elements, including the image button for voice recording and the two text views to display user input and the agent's response.

🎙️ Recording Audio and Text Views

In this step, we will add an OnClickListener to the button used for voice recording. When the button is pressed, we want to prompt the user to record their input. To achieve this, we will use an implicit intent provided by Google's Speech API. I have created a method called promptSpeechInput() that invokes this intent. You can find the code on my GitHub repository.

📡 Making a Post Request to the API

After prompting the user for input, we need to send their query to our API. To do this, we will make a POST request to our agent. The code for making this request can be found in the getText() method. We will specify the URL, headers, and request body in the code. Make sure to replace the URL and access token with your own.

🔄 Processing the Returned Data

Once we have made the POST request, our agent will process the query and return a response. In the onActivityResult() method, we will receive the response data. We need to extract the Relevant information from the response. I have provided the code on my GitHub repository. The response will be displayed in the textSpeechInput text view.

🚀 Calling the getText Method

To execute the POST request in the background, we need to call the getText() method from an AsyncTask. I have created an inner class that extends AsyncTask to achieve this. The code for this class can also be found on my GitHub repository.

💡 Conclusion

Congratulations! We have successfully implemented the chatbot agent in our Android application. In this video, we covered setting up the project, designing the layout, recording audio, and processing the returned data. Make sure to check out my upcoming videos, where we will explore more features and train our agent.

Thank you for watching, and don't forget to check out the code on my GitHub repository. If you have any questions, feel free to leave a comment below.

Highlights

  • Building a chatbot app for event queries
  • Setting up the project and designing the layout
  • Recording audio and displaying user input
  • Prompting speech input using Google's Speech API
  • Making a POST request to the API using AsyncTask
  • Processing the returned data and displaying the agent's response

FAQ

Q: Where can I find the code for this project? A: You can find the code on my GitHub repository. The link is provided in the video description.

Q: Can I customize the layout? A: Yes, you can either use the layout provided in the GitHub repository or create your own layout.

Q: How can I replace the API URL and access token? A: Simply replace the URL and access token in the code with your own. You can find the necessary details in your API account settings.

Q: Will there be more videos on training the chatbot agent? A: Yes, in the upcoming videos, we will explore more features, including training the agent and creating intents for our app.

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