Unlocking Conversations with AI: EP2

Unlocking Conversations with AI: EP2

Table of Contents

1. Introduction
2. Adding Audio Output to Chat GPT
3. Introduction to the I2S Audio Amplifier Module
4. Using the Google TTS Library for Text-to-Speech Conversion
5. Hardware Components Needed
6. Downloading the Audio I2S Library
7. Uploading the Basic Code for Speech Conversion
8. Integrating Chat GPT API Code with Speech Output
9. Adding Libraries for JSON Parsing
10. Compiling and Uploading the Code to the ESP32 Board
11. Testing the System with Sample Questions
12. Conclusion
13. Future Project Ideas

Adding Audio Output to Chat GPT

In this episode of the Chat GPT series, we will explore a new feature for our project - audio output. Now, we can listen to the responses from the Chat GPT as an audio output. Isn't that interesting? Along with this feature, we will also learn about the I2S audio amplifier module and the Google Text-to-Speech (TTS) Library. So, let's not waste any more time and get started!

To implement this feature, You will need the following hardware components: an ESP32 board, an I2S audio amplifier module, and a speaker. I will provide links to these components in the description box. Once you have acquired these components, you'll need to connect them as shown in the provided connection Diagram.

Before we dive into the coding part, we need to download the audio I2S library. You can find the library on GitHub. I will add the link to the description box. After downloading the library, open the Arduino IDE, go to the Sketch option, and click on Include Library. Add the downloaded library from the zip file. If you have already installed the library, you will be able to see it here.

Now, let's upload a basic code to check if we can convert a sample STRING into speech using our hardware. While the code is uploading, let's go through its working. The code starts by defining the necessary pins for our hardware connections. In the setup function, we define the Wi-Fi mode, SSID, password, pinouts, and volume level. We also have a connectToSpeech function, where you provide the string you want to convert into speech. Inside the loop, we have an audio.loop function to continuously check for new input strings and convert them into speech. You can add any debug information you want to see in the serial monitor.

After uploading the code, open the serial monitor and you should hear the speaker saying "Hello world, my name is [your name]". This confirms that We Are able to convert our input string into speech using the Google TTS. Let's try it again to make sure everything is functioning properly. Great, it worked!

Now, let's integrate this code with our Chat GPT API code. Most of the code remains the same as in the previous episode, with the addition of the I2S module code and the necessary libraries for JSON parsing. In the setup section, we define the SSID, password, Chat GPT token, temperature, and max token values. These values were already discussed in the previous episode. Next, we ask the user to input a question in the serial monitor and store it in the question string. We remove any line breaks from the input string before processing it.

The main integration happens in the payload string, where we include the question, temperature, and max token values. We send this payload in a POST request to the Chat GPT API and receive the response in JSON format. We extract the answer from the JSON file and remove any unnecessary characters. Finally, we pass the response string to the Google TTS code to convert it into speech, which is played through the speaker.

After compiling and uploading the code to the ESP32 board, we can test it by asking simple questions. The board will respond with the answers spoken through the speaker. The temperature value affects the creative level of the responses.

In conclusion, we have successfully added audio output to our Chat GPT project by integrating the I2S audio amplifier module and the Google TTS Library. We can now listen to the responses from the Chat GPT as speech through the speaker. In the next video, we will explore two possible future project ideas: creating an independent project that uses a microphone for input, or integrating a keyboard to pass input to the ESP32 board. Let me know in the comments which part you would like me to focus on. Don't forget to like, subscribe, and leave your feedback and suggestions. See you in the next episode!