Introduction

We ask the user which definition they want, and based on their input, ChatGPT generates the definition of the particular word. The sprite then uses the text-to-speech extension to speak out the definition.

Logic

The code represents a conversation between the sprite character “Tobi” and the AI models. The sprite asks the user for a definition, the user responds, the AI generates a result based on the response, and the sprite says and speaks the result.

Follow the steps below:

1. Open PictoBlox and create a new file.
2. Choose a suitable coding environment for python-based coding.
3. Add the text-to-speech and ChatGPT extensions to your project from the extension palette located at the bottom right corner of PictoBlox.
   
4. We create an click on of the Text to Speech extension. This class allows us to convert text into spoken audio.
   
5. Next, we create an click on of the ChatGPT extension. ChatGPT is a language model that can generate human-like text responses based on the input it receives.
6. Define a sprite Tobi.
7. Create an instance of the ChatGPT AI model. ChatGPT is likely a class or module designed for generating responses to user inputs or questions.
8. Furthermore, we create an instance of the TexttoSpeech model using  TexttoSpeech(). It seems to be a text-to-speech synthesis system, allowing the AI to convert generated text into spoken words.
9. The sprite will prompt the user to provide a specific definition.
10. The user’s response to the sprite’s question is stored in the variable “l” after converting it to a string using the str() function.
11. Then calls a method named askdefinition() on the gpt object, passing the user’s input l as an argument. It seems that this method is responsible for retrieving a definition based on the user’s input.
12. Furthermore, calls a method named chatGPTresult() on the gpt object, which likely generates a response or result based on the provided definition. The result is stored in the variable result.
13. Now, we instruct the sprite Tobi to show the result byusing the say() method.
14. Finally we call the speak() method on the speech object, passing the result as an argument. This is likely responsible for synthesizing the text into speech and playing it back.
15. Press the Run button to run the code.

Code

sprite = Sprite('Tobi')
gpt = ChatGPT()
speech = TexttoSpeech()

sprite.input("Which definition do you want?")
l = str(sprite.answer())

data=gpt.askdefination(l)

result=gpt.chatGPTresult()
sprite.say(result,10)
speech.speak(result)

Output