PictoBlox Extensions
  1. Scratch Based Default Extensions
    1. Motion
    2. Looks
    3. Sound
    4. Control
    5. Events
    6. Sensing
    7. Operators
    8. My Blocks
    9. Variables
  2. Artificial Intelligence
    1. Face Detection
    2. Object Detection
    3. Human Body Detection
    4. Computer Vision
    5. Text Recognition
    6. Speech Recognition
    7. ChatGPT
    8. Natural Language Processing
    9. Recognition Cards
    10. Text to Speech
    11. Translate
  3. Innovative Extensions
    1. QR Code Scanner
    2. Weather Data
    3. Physics Engine
    4. IFTTT Webhooks
    5. Internet of Things (IoT)
    6. Data Logger
    7. Music
    8. Video Sensing
    9. Pen
  4. Machine Learning Environment
    1. Image Classifier (ML)
    2. Object Detection (ML)
    3. Pose Classifier (ML)
    4. Hand Pose Classifier (ML)
    5. Audio Classifier (ML)
    6. Number Classifier and Regression (ML)
    7. Text Classifier (ML)
  5. Quarky
    1. Quarky (Main)
    2. Display (Quarky)
    3. Robot (Quarky)
    4. Sensors (Quarky)
    5. Speaker (Quarky)
    6. Quarky Ultimate Robots
    7. Quarky Expansion Board
    8. Mars Rover
    9. Quadruped (Quarky)
    10. IoT House (Quarky)
    11. Quarky Mecanum
    12. Dabble
PictoBlox Block

say()

  • PictoBlox Extension: Looks
  • Mode: Stage Mode
  • Type: Stack Block

Description

The block gives its sprite a speech bubble with the specified text — the speech bubble stays until another speech or thought block is activated, or the stop sign is pressed.

Example

Sprite Direction

The example demonstrates the sprite direction in PictoBlox.
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Script

Output

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Language Translator with ChatGPT

The Language Translator with ChatGPT is a powerful system that enables real-time translation and conversation support, facilitating multilingual communication.
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Introduction

The Language Translator with ChatGPT and Speech Recognition is a system that helps people communicate across languages by providing real-time translation and conversation support. It combines language translation, chatbot capabilities, and speech recognition to facilitate multilingual communication.

Language Translator Using ChatGPT is a project that trains the ChatGPT language model with multilingual data to enable it to understand and translate text between different languages. It utilizes ChatGPT’s natural language processing abilities to generate human-like responses, making it ideal for building a language translation system. The training data includes sentence pairs in different languages and their corresponding translations.

Logic

Initially, two characters engage in a conversation. One character asks a question, and the other character converts it into a different language before answering it and providing a response.

  1. Open PictoBlox and create a new file.
  2. Select the environment as appropriate Block Coding Environment.
  3. To add the ChatGPT extension, click on the extension button located as shown in the image. This will enable the ChatGPT extension, allowing you to incorporate its capabilities into your project.
  4. To begin, select two sprites Hazel and John from the sprite options in the bottom left corner, as shown in the image.
  5. To upload a backdrop, use the “Choose Backdrop” option, which allows you to select and set a background image or scene for your activity. Backdrops are used as the type of background in our activity.
  6. To create a script, select a different sprite and then add various block scripts to customize its behavior.
  7. Let’s use the sprites Hazel and Joan for our script.
  8. For Hazel, navigate to the costumes section and enable the “Flip Horizontal” option to add a mirror effect. Set the positions of both sprites as if they are talking to each other.
  9. Click on John’s Sprite first. We will now begin writing a script as shown in the image.
  10. First, we will prompt the user to input a sentence. and using the say() method, the sprite will verbally repeat the same answer provided by the user.
  11. Next, by using the broadcast() block, we can send the translated answer to the second sprite to ensure that both sprites have the same response.
  12. select the second Hazel’s sprite and begin with the when I receive a () block. This block will initiate the action when the second sprite receives a message from the first sprite.
  13. Drag and drop the “translate() into()” function into the block. This block will translate any language of your choice. In this example, we are writing in Hindi language.
  14. We utilize the get AI Response block to obtain a response from ChatGPT. Then, using the say() method, Hazel, the sprite, will deliver the answer in translated sentences.
  15. To begin the script, simply click on the green flag button.

Output

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Noun Detector

Learn about noun detectors, tools or algorithms designed to identify and extract nouns from text or speech inputs.
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Introduction

A noun detector is a tool or algorithm designed to identify and extract nouns from a given text or speech input. Nouns are a type of word that typically represent people, places, things, or ideas. In the context of chat-based applications, a noun detector can be useful for extracting key information or identifying specific entities mentioned in a conversation. It can help in tasks such as named entity recognition, information retrieval, sentiment analysis, and many more.
A noun detector serves as a valuable component in language processing systems, helping to extract and utilize meaningful information from text or speech inputs in chat-based interactions.

Logic

First, ChatGPT generates random sentences, and we save this response in a variable. Then, it asks users to identify a noun from the given sentence. If the user’s answer matches the response generated by ChatGPT, it will say “Correct.” Otherwise, it will say “Incorrect answer.”

  1. Open PictoBlox and create a new file.
  2. Select the environment as appropriate Block Coding Environment.
  3. To add the ChatGPT extension, click on the extension button located as shown in the image. This will enable the ChatGPT extension, allowing you to incorporate its capabilities into your project.
  4. We drag and drop the “Ask (AI)” block from the ChatExtension, and we use it to ask for any random sentence as input from chatGPT.
  5. We create a new variable called sentence and assign the value of a random sentence generated by ChatGPT to it.
  6. Use the say() method to provide instructions for finding nouns in the given sentence.
  7. Drag and drop the get() from the () block from the ChatGPT extension to obtain information from the sentence.
  8. If we use an if-else loop, we prompt the user to identify a noun from a given sentence. If the user’s answer matches the response generated by ChatGPT, it will say Correct answer for 2 minutes.
  9. Otherwise, if the user’s answer does not match the response from ChatGPT, it will return Answer is not a noun for 2 seconds.
  10. To begin the script, simply click on the green flag button.

Code

Output

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Definition with ChatGPT

Discover an interactive way to get word definitions using ChatGPT and text-to-speech. Prompt users to choose a definition, generate it with ChatGPT, and have the sprite speak it out using the text-to-speech extension.
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Logic

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.

Follow the steps below:

  1. Open PictoBlox and create a new file.
  2. Choose a suitable coding environment for block-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 use the Set Maximum Length to () block to specify the maximum length in ChatGPT, which represents the maximum number of words allowed in a single message.
  5. We prompt users to indicate which definition they would like to receive.
  6. We pass this input to the define() block, which sends a request to ChatGPT to define the user answer.
  7. We utilize the getAI block to retrieve the most recent response from ChatGPT. Then, we use the say() method to have the sprite speak out this response.
  8. Finally, we utilize the speak() block from the text-to-speech extension to have the given text spoken aloud.

Code

Output

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Synonym and Antonym Conveter

Discover a unique experience in a Synonym/antonyms World, where the combined powers of Speech Recognition and ChatGPT Extension.
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Introduction

Hey! Welcome to the fascinating realm of “Synonym/Antonym World,” where the powers of Speech Recognition and ChatGPT converge. Immerse yourself in an innovative platform that not only recognizes your speech but also provides an extensive collection of synonyms and antonyms for any given word. With this powerful combination, you can effortlessly expand your vocabulary, explore alternative expressions, and delve into the nuances of language. Unleash the potential of speech recognition and ChatGPT as you navigate through a world where words find their perfect counterparts. Get ready to unlock new dimensions of linguistic exploration in the captivating Synonym/Antonym World!

Code

Logic

  1. Open PictoBlox and create a new file.
  2. Choose a suitable coding environment for Block-based coding.
  3. We create an instance of the Speech recognition.This class allows us to convert spoken audio into text.
  4. Next, we create an instance of the ChatGPT model called gpt. ChatGPT is a language model that can generate human-like text responses based on the input it receives. 
  5. Recognize speech for 5 seconds using recognize speech for ()s in the () block.
  6. Save the recognized result in the “input” variable.
  7. Use the “get(synonyms) of ()” function to obtain synonyms of the recognized speech result.
  8. ChatGPT will provide the answers for 10 response synonyms in the “Synonym World” based on the given input.
  9. Use the “get(antonyms) of ()” function to obtain antonyms of the recognized speech result.
  10. The output of the anonymous word of the given input will be displayed by the sprite.
  11. Click on the green flag to run the code.

Output

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Personalized Chat Experience :Interactive Chatbox

Experience an interactive chatbox where you can specify the tone of AI responses. Ask questions or share thoughts on various topics, and receive personalized answers.
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Introduction

In this interactive chatbox experience, the user has the freedom to specify the tone in which they would like the AI to respond. The tone can be anything they prefer: Normal, sarcastic, Friend that suits their preference.

Once the user has selected a particular tone, they can provide their input or ask a question. Based on their input, the AI will generate a response that aligns with the chosen tone. This allows for the creation of a conversational atmosphere similar to real-life interactions.

Users are encouraged to ask any question or share their thoughts on various topics. They can also engage in discussions or seek assistance with the information they need. The AI is there to facilitate a meaningful conversation and provide helpful responses based on the tone chosen by the user.

So, the user is requested to let the AI know the specific tone they would like it to adopt, and then they are free to ask any question they have in mind. The AI is here to provide a personalized and engaging chat experience!

Code

Logic

  1. Open PictoBlox and create a new file.
  2. Choose a suitable coding environment for Block-based coding.
  3. We create an instance of the Speech recognition.This class allows us to convert spoken audio into text.
  4. Next, we create an instance of the ChatGPT model called gpt. ChatGPT is a language model that can generate human-like text responses based on the input it receives. 
  5. We create an instance of the Text to Speech.This class allows us to speak the output.
  6. Use the “recognize speech” block to capture the user’s speech for a duration of 5 seconds.
  7. First, ask the user which format they prefer for the answer: normal, sarcastic, or friendly
  8. If the user requests a normal response, the ChatGPT extension will generate feedback in normal mode.
  9. If the user requests a sarcastic response, ChatGPT will generate a sarcastic answer.
  10. If the user requests a friendly response, ChatGPT will generate a friendly answer. Additionally, Sprite will speak the answer.
  11. The “speak” block, which utilizes the text-to-speech recognition extension, will vocalize the answer to the asked question.

In summary, we can describe it as a chatbox that provides answers in three different ways based on the user’s mood and entertainment preferences. When a question is asked, it will respond accordingly.

Output

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Transform Words into Colorful Emojis

Convert any word or phrase into a delightful sequence of emojis with our Emoji Converter.
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Introduction

Are you looking to add some fun and expressiveness to your conversations? Look no further! I’m here to help you convert any word or phrase into a colorful array of emojis. Whether you want to spice up your messages, or social media posts, or simply bring a smile to someone’s face, I’ve got you covered.

Just type in the word or phrase you want to transform, and I’ll generate a delightful sequence of emojis that capture the essence of your text. Emojis are a universal language that transcends words from happy faces to animals, objects, and everything in between.

So, let’s get started and infuse your text with a touch of emoji magic! 🎉🔥

Logic

This code allows the user to interact with the sprite and provide emojis, which are then transformed into a response using the ChatGPT model. The sprite then speaks the generated response using the provided emojis.

  1. Open PictoBlox and create a new file.
  2. Choose a suitable coding environment for Block-based coding.
  3. Define a sprite , Tobi.
  4. Then, we create an instance of the ChatGPT model using the ChatGPT class.
  5. The sprite will ask you which word you want to convert into emojis.
  6. ChatGPT will respond based on its using getAIresponce block.
  7. The sprite will display the chosen word in emojis.
  8. Press Green Flag to Run the code.

Code

Output

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