Wandering Emoji Adventure

{"name":"AI Webcam controlled player [Template]","description":"Train an AI model with Teachable Machine to detect Up, Down, Left, Right, and Nothing gestures via your webcam. Use that model to control a player in this game world. Take this project and make it a full-on game with webcam controls!","photo":"https://res.cloudinary.com/dzv7hjwfn/image/upload/rpf07vvs9lh25mklolto","view_count":26,"fork_count":12,"expires_at":null,"created_at":"2025-03-27T16:54:09.434709Z","updated_at":"2025-03-27T16:54:09.434710Z","user_id":70,"status":"PUBLIC","parent_id":null,"id":6680,"user":{"photo":null,"email":"kristen@jippity.pro","recess_id":"0c22a63e-e8fa-453f-a493-d113532a13c2","created_at":"2024-03-23T19:20:56.974481Z","reset_token":"GD2dODEjNUbAH88Yx-1HMTa4uc_OUtvTa0c5D-VKUhw","stripe_customer_id":"cus_RPbovGjLueUufv","seats":100,"username":"kris10","id":70,"password_hash":"$2b$12$abwA8Crfrc22ANEFpZErHeQDLvhr9RJOD0lMNLh7PJGrAn7M//qEC","updated_at":"2024-03-23T19:20:56.974485Z","reset_token_expiry":"2025-01-14T23:32:05.455609","subscription_status":"active"},"code":{"player.js":"class Player {\n constructor(x, y) {\n this.x = x;\n this.y = y;\n this.speed = 2;\n this.width = 100; // Width of the player (pizza image)\n this.height = 100; // Height of the player (pizza image)\n }\n\n update() {\n if (highestPrediction) { // Check if highestPrediction is available\n switch (highestPrediction.className) {\n case \"Up\":\n this.y -= this.speed; // Move up\n break;\n case \"Down\":\n this.y += this.speed; // Move down\n break;\n case \"Left\":\n this.x -= this.speed; // Move left\n break;\n case \"Right\":\n this.x += this.speed; // Move right\n break;\n case \"Nothing\":\n // Do nothing\n break;\n }\n }\n\n // Boundary checks to prevent leaving the screen\n if (this.x < this.width / 2) {\n this.x = this.width / 2; // Prevent moving left off the screen\n } else if (this.x > width - this.width / 2) {\n this.x = width - this.width / 2; // Prevent moving right off the screen\n }\n\n if (this.y < this.height / 2) {\n this.y = this.height / 2; // Prevent moving up off the screen\n } else if (this.y > height - this.height / 2) {\n this.y = height - this.height / 2; // Prevent moving down off the screen\n }\n }\n\n display() {\n imageMode(CENTER); // Center the image at the (x, y) position\n image(jippityPizza, this.x, this.y, this.width, this.height); // Display the scaled image at the player's position\n }\n}\n\n","script.js":"// Replace this with your Up/Down/Left/Right/Nothing Teachable Machine model!\nconst URL = \"https://teachablemachine.withgoogle.com/models/8wFqzm9N9/\";\n\nlet player;\n\nlet jippityPizza;\n\nasync function preload() {\n jippityPizza = loadImage(\"@asset('jippityPizza')\"); // Load the image\n}\n\nfunction setup() {\n createCanvas(windowWidth, windowHeight);\n player = new Player(width / 2, height / 2); // Initialize player in the center\n init(); // Initialize the webcam and model\n}\n\nfunction draw() {\n drawCheckeredBackground(); // Call the function to draw the checkered background\n player.update();\n player.display();\n}\n\nfunction drawCheckeredBackground() {\n const tileSize = 50; // Size of each tile\n for (let y = 0; y < height; y += tileSize) {\n for (let x = 0; x < width; x += tileSize) {\n fill((x / tileSize + y / tileSize) % 2 === 0 ? 255 : 204, (x / tileSize + y / tileSize) % 2 === 0 ? 204 : 204, 204); // Alternate colors\n rect(x, y, tileSize, tileSize); // Draw each tile\n }\n }\n}\n","style.css":"body { margin: 0; } canvas { display: block; }","webcam.js":"let model, webcam, labelContainer, maxPredictions;\n\nlet highestPrediction;\n\nasync function webcamLoop() {\n webcam.update(); // Update the webcam frame\n await predict(); // Get predictions\n window.requestAnimationFrame(webcamLoop); // Loop\n}\n\nasync function predict() {\n const prediction = await model.predict(webcam.canvas);\n highestPrediction = prediction[0]; // Assign to global variable\n for (let i = 1; i < maxPredictions; i++) {\n if (prediction[i].probability > highestPrediction.probability) {\n highestPrediction = prediction[i];\n }\n }\n\n // Display the prediction text\n document.getElementById(\"prediction-container\").innerHTML =\n `Prediction: ${highestPrediction.className} (${(highestPrediction.probability * 100).toFixed(2)}%)`;\n}\n\nasync function init() {\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n // Create a loading text container\n const loadingContainer = document.createElement('div');\n loadingContainer.id = 'loading-container';\n loadingContainer.style.position = 'absolute'; // Positioning the container\n loadingContainer.style.top = '0'; // Align to the top\n loadingContainer.style.left = '0'; // Align to the left\n loadingContainer.style.color = 'white'; // Text color\n loadingContainer.style.backgroundColor = 'rgba(0, 0, 0, 0.5)'; // Background for readability\n loadingContainer.style.padding = '10px'; // Padding for the text\n loadingContainer.innerHTML = 'Loading AI model...'; // Loading text\n document.body.appendChild(loadingContainer); // Append to body\n\n model = await tmImage.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n\n const flip = true; // whether to flip the webcam\n webcam = new tmImage.Webcam(200, 200, flip); // Set up the webcam\n await webcam.setup(); // Request access to the webcam\n webcam.play();\n\n // Remove the loading container after setup is complete\n document.body.removeChild(loadingContainer);\n\n // Append the webcam canvas to the DOM\n document.body.appendChild(webcam.canvas); // Append webcam canvas to the body\n webcam.canvas.style.position = 'absolute'; // Positioning the canvas\n webcam.canvas.style.top = '0'; // Align to the top\n webcam.canvas.style.left = '0'; // Align to the left\n\n // Create a container for the prediction text\n const predictionContainer = document.createElement('div');\n predictionContainer.id = 'prediction-container';\n predictionContainer.style.position = 'absolute'; // Positioning the container\n predictionContainer.style.top = '210px'; // Position below the webcam\n predictionContainer.style.left = '0'; // Align to the left\n predictionContainer.style.color = 'white'; // Text color\n predictionContainer.style.backgroundColor = 'rgba(0, 0, 0, 0.5)'; // Background for readability\n predictionContainer.style.padding = '10px'; // Padding for the text\n document.body.appendChild(predictionContainer); // Append to body\n\n window.requestAnimationFrame(webcamLoop);\n}","index.html":"\n\n\n\n \n \n Wandering Emoji Adventure\n \n \n \n \n\n\n\n \n \n \n\n\n"},"chat_history":[{"project_id":6680,"sender":"human","message":"a simple game with a player that walks around","deleted":0,"created_at":"2025-03-27T16:29:38.175492Z","output_tokens":null,"code_id":222111,"input_tokens":null,"id":122437},{"project_id":6680,"sender":"client_script","message":"Let's get started!\n Errors:\n","deleted":0,"created_at":"2025-03-27T16:29:42.871296Z","output_tokens":null,"code_id":222111,"input_tokens":null,"id":122438},{"project_id":6680,"sender":"ai","message":"Great! It sounds like a fun project. Could you tell me a bit more about your idea for the game? For example, what kind of character do you want the player to control, and how would you like them to move?","deleted":0,"created_at":"2025-03-27T16:29:42.881627Z","output_tokens":50,"code_id":222111,"input_tokens":2544,"id":122439},{"project_id":6680,"sender":"human","message":"just a player that walks around with arrow keys","deleted":0,"created_at":"2025-03-27T16:29:55.689069Z","output_tokens":null,"code_id":222111,"input_tokens":null,"id":122440},{"project_id":6680,"sender":"ai","message":"Awesome! We can definitely create a simple character controlled by the arrow keys. Let's use an emoji to represent the player character, which makes it simple and fun. \n\nWould you like the player to have any specific characteristics, such as speed or a specific emoji to represent them?","deleted":0,"created_at":"2025-03-27T16:29:55.762924Z","output_tokens":71,"code_id":222111,"input_tokens":2548,"id":122441},{"project_id":6680,"sender":"human","message":"ok","deleted":0,"created_at":"2025-03-27T16:30:01.858674Z","output_tokens":null,"code_id":222111,"input_tokens":null,"id":122442},{"project_id":6680,"sender":"ai","message":"Let's go ahead and add a player character that can be moved using the arrow keys. We'll use an emoji for the character. I'll guide you on how to implement this in your existing code.\n\nFirst, let's create a player class and implement movement using the arrow keys.\n\n```javascript\n// script.js\nlet player;\n\nfunction setup() {\n createCanvas(windowWidth, windowHeight);\n background(135, 206, 235); // Sky blue background\n player = new Player(width / 2, height / 2); // Initialize player in the center\n}\n\nfunction draw() {\n background(135, 206, 235); // Clear the background each frame\n player.update();\n player.display();\n}\n\nclass Player {\n constructor(x, y) {\n this.x = x;\n this.y = y;\n this.speed = 5;\n }\n\n update() {\n if (keyIsDown(LEFT_ARROW)) {\n this.x -= this.speed;\n }\n if (keyIsDown(RIGHT_ARROW)) {\n this.x += this.speed;\n }\n if (keyIsDown(UP_ARROW)) {\n this.y -= this.speed;\n }\n if (keyIsDown(DOWN_ARROW)) {\n this.y += this.speed;\n }\n }\n\n display() {\n textSize(32);\n text('🚶', this.x, this.y);\n }\n}\n```\n\n### Explanation:\n- **Player Class**: Represents the player, initialized with a position and speed.\n- **update() Method**: Adjusts the player's position based on which arrow keys are pressed.\n- **display() Method**: Draws the player emoji on the canvas at the player's current position.\n- **setup() Function**: Initializes the player in the center of the canvas.\n- **draw() Function**: Updates and displays the player each frame, clearing the background first.","deleted":0,"created_at":"2025-03-27T16:30:01.864428Z","output_tokens":409,"code_id":222111,"input_tokens":2540,"id":122443},{"project_id":6680,"sender":"server_script","message":"

Add your new assets to the code

\n\n```javascript\nfunction preload() {\n\n\tjippityPizza = loadImage(\"@asset('jippityPizza')\");\n}\n```","deleted":0,"created_at":"2025-03-27T16:31:11.978076Z","output_tokens":null,"code_id":222113,"input_tokens":null,"id":122444},{"project_id":6680,"sender":"human","message":"use jippityPizza for the player","deleted":0,"created_at":"2025-03-27T16:31:23.973340Z","output_tokens":null,"code_id":222115,"input_tokens":null,"id":122445},{"project_id":6680,"sender":"ai","message":"Let's update the player class to use the `jippityPizza` image as the character instead of the emoji. We will load the image in the `preload` function and then display it in the `display()` method.\n\nHere's how to modify your existing code:\n\n```javascript\n// script.js\nlet player;\nlet jippityPizza; // Declare a variable for the image\n\nfunction preload() {\n jippityPizza = loadImage(\"@asset('jippityPizza')\"); // Load the image\n}\n\nfunction setup() {\n createCanvas(windowWidth, windowHeight);\n background(135, 206, 235); // Sky blue background\n player = new Player(width / 2, height / 2); // Initialize player in the center\n}\n\nfunction draw() {\n background(135, 206, 235); // Clear the background each frame\n player.update();\n player.display();\n}\n\nclass Player {\n constructor(x, y) {\n this.x = x;\n this.y = y;\n this.speed = 5;\n }\n\n update() {\n if (keyIsDown(LEFT_ARROW)) {\n this.x -= this.speed;\n }\n if (keyIsDown(RIGHT_ARROW)) {\n this.x += this.speed;\n }\n if (keyIsDown(UP_ARROW)) {\n this.y -= this.speed;\n }\n if (keyIsDown(DOWN_ARROW)) {\n this.y += this.speed;\n }\n }\n\n display() {\n imageMode(CENTER); // Center the image at the (x, y) position\n image(jippityPizza, this.x, this.y); // Display the image at the player's position\n }\n}\n```\n\n### Explanation:\n- **jippityPizza Variable**: A global variable is declared to hold the image.\n- **preload() Function**: The image is loaded before the program starts.\n- **display() Method**: Uses the `image()` function to display the `jippityPizza` image instead of drawing text.\n\nMake sure to replace the existing code in your `script.js` file with the above code. This will allow the player to walk around using the `jippityPizza` image. Let me know if you have any other ideas or features to add!","deleted":0,"created_at":"2025-03-27T16:31:23.980134Z","output_tokens":477,"code_id":222115,"input_tokens":2930,"id":122446},{"project_id":6680,"sender":"human","message":"make it smaller though like an emoji","deleted":0,"created_at":"2025-03-27T16:31:44.738277Z","output_tokens":null,"code_id":222117,"input_tokens":null,"id":122447},{"project_id":6680,"sender":"ai","message":"To make the `jippityPizza` image smaller, we can use the `image()` function's additional parameters to specify the width and height when displaying the image. Let's adjust the `display()` method in the `Player` class to scale the image down to a smaller size.\n\nHere's the updated code for the `display()` method:\n\n```javascript\n// script.js\nclass Player {\n // ... existing constructor and update methods ...\n\n display() {\n imageMode(CENTER); // Center the image at the (x, y) position\n const size = 50; // Set the desired size for the image\n image(jippityPizza, this.x, this.y, size, size); // Display the scaled image at the player's position\n }\n}\n```\n\n### Explanation:\n- **size Variable**: A constant is defined to set the width and height for the image.\n- **image() Function**: The additional parameters `size` and `size` are passed to scale the `jippityPizza` image to a smaller size.\n\nMake sure to replace the `display()` method in your `Player` class with the updated version above. This will make the image appear smaller, like an emoji. Let me know if you'd like to add any more features!","deleted":0,"created_at":"2025-03-27T16:31:44.763589Z","output_tokens":281,"code_id":222117,"input_tokens":2965,"id":122448},{"project_id":6680,"sender":"human","message":"make the background checkered retro tiles","deleted":0,"created_at":"2025-03-27T16:32:19.615253Z","output_tokens":null,"code_id":222117,"input_tokens":null,"id":122449},{"project_id":6680,"sender":"ai","message":"To create a checkered retro tile background, we'll need to draw a grid of squares in two different colors. We can do this in the `draw()` function before we display the player.\n\nHere's how to modify your `draw()` function to create a checkered background:\n\n```javascript\n// script.js\nfunction draw() {\n drawCheckeredBackground(); // Call the function to draw the checkered background\n player.update();\n player.display();\n}\n\nfunction drawCheckeredBackground() {\n const tileSize = 50; // Size of each tile\n for (let y = 0; y < height; y += tileSize) {\n for (let x = 0; x < width; x += tileSize) {\n if ((x / tileSize + y / tileSize) % 2 === 0) {\n fill(255, 204, 204); // Light color for the tiles\n } else {\n fill(204, 204, 255); // Dark color for the tiles\n }\n rect(x, y, tileSize, tileSize); // Draw each tile\n }\n }\n}\n```\n\n### Explanation:\n- **drawCheckeredBackground() Function**: This function creates a grid of squares. \n - It iterates through the canvas using nested loops and fills each square with alternating colors based on the position.\n- **tileSize Variable**: Determines the size of each tile in the grid.\n- **draw() Function**: Calls `drawCheckeredBackground()` before updating and displaying the player to ensure the background is drawn first.\n\nMake sure to replace the existing `draw()` function in your `script.js` with the updated version, and add the new `drawCheckeredBackground()` function. This will give your game a nice retro checkered tile background! Let me know if you have any other features in mind!","deleted":0,"created_at":"2025-03-27T16:32:19.731375Z","output_tokens":407,"code_id":222117,"input_tokens":2965,"id":122450},{"project_id":6680,"sender":"human","message":"ok now we will use a teachable machine model that has categories Up Down Left Right and Nothing. Use the webcam feed to get the best prediction and move the player based on those. Here is sample code from another project on setting up the teachable machine model // the link to your model provided by Teachable Machine export panel\nconst URL = \"https://teachablemachine.withgoogle.com/models/eGW5oYhvO/\";\n\nlet model, webcam, labelContainer, maxPredictions;\n\nlet botChoice;\n\nlet gameInProgress = false;\n\nlet highestPrediction; \n\nasync function loop() {\n webcam.update(); // update the webcam frame\n await predict();\n window.requestAnimationFrame(loop);\n} \n\nfunction getBotChoice() {\n const choices = [\"Rock\", \"Paper\", \"Scissors\"];\n return choices[Math.floor(Math.random() * choices.length)];\n}\n\nasync function predict() {\n // predict can take in an image, video or canvas html element\n const prediction = await model.predict(webcam.canvas);\n highestPrediction = prediction[0]; // Assign to global variable\n\n // Find the prediction with the highest probability\n for (let i = 1; i < maxPredictions; i++) {\n if (prediction[i].probability > highestPrediction.probability) {\n highestPrediction = prediction[i];\n }\n }\n\n // Define emojis for Rock, Paper, and Scissors\n const emojis = {\n \"Rock\": \"🪨\", // Rock emoji\n \"Paper\": \"📄\", // Paper emoji\n \"Scissors\": \"✂️\", // Scissors emoji\n \"Nothing\": \" \" // Text for Nothing\n };\n\n // Display the appropriate emoji based on the prediction\n let emoji = emojis[highestPrediction.className] || \" \"; // Default to empty space if not found\n\n // Display the emoji and the highest prediction in the prediction container\n document.getElementById(\"prediction-container\").innerHTML =\n `${emoji} ${highestPrediction.className}: ${highestPrediction.probability.toFixed(2)}`;\n}\n\nfunction playRound() {\n botChoice = getBotChoice();\n const userChoice = highestPrediction.className; // Use the current prediction\n let result;\n\n // Define emojis for Rock, Paper, and Scissors\n const emojis = {\n \"Rock\": \"🪨\", // Rock emoji\n \"Paper\": \"📄\", // Paper emoji\n \"Scissors\": \"✂️\" // Scissors emoji\n };\n\n if (userChoice === \"Nothing\") {\n result = \"You lose! No choice.\";\n } else if (userChoice === botChoice) {\n result = `Bot chose ${emojis[botChoice]}. You chose ${emojis[userChoice]}. It's a tie!`;\n } else if (\n (userChoice === \"Rock\" && botChoice === \"Scissors\") ||\n (userChoice === \"Paper\" && botChoice === \"Rock\") ||\n (userChoice === \"Scissors\" && botChoice === \"Paper\")\n ) {\n result = `Bot chose ${emojis[botChoice]}. You chose ${emojis[userChoice]}. You win!`;\n } else {\n result = `Bot chose ${emojis[botChoice]}. You chose ${emojis[userChoice]}. You lose!`;\n }\n\n // Display the result in the result container\n document.getElementById(\"result-container\").innerHTML = result;\n document.querySelector(\"#play-button\").style.display = \"block\";\n document.querySelector(\"#play-button\").innerText = \"Play Again\";\n gameInProgress = false;\n}\n\nasync function init() {\n // Hide the Start button immediately after it's clicked\n document.querySelector(\"button\").style.display = \"none\"; // This hides the 'Start' button\n\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n // Load the model and metadata\n console.log(\"Loading model...\");\n model = await tmImage.load(modelURL, metadataURL);\n console.log(\"Model loaded.\");\n maxPredictions = model.getTotalClasses();\n\n // Set up webcam\n const flip = true; // whether to flip the webcam\n webcam = new tmImage.Webcam(200, 200, flip); // width, height, flip\n console.log(\"Setting up webcam...\");\n await webcam.setup(); // request access to the webcam\n console.log(\"Webcam setup complete.\");\n // Show the play button after model and webcam are ready\n\n console.log(\"Showing play button...\");\n document.querySelector(\"#play-button\").style.display = \"block\"; // This will show the play button\n\n webcam.play();\n window.requestAnimationFrame(loop);\n\n // Append elements to the DOM\n document.getElementById(\"webcam-container\").appendChild(webcam.canvas);\n labelContainer = document.getElementById(\"label-container\");\n labelContainer.appendChild(document.createElement(\"div\"));\n\n\n}\n\nfunction startGame() {\n if (gameInProgress) return; // Prevent starting another game if one is in progress\n\n gameInProgress = true;\n document.querySelector(\"#play-button\").style.display = \"none\";\n\n let countdown = 3;\n const countdownContainer = document.getElementById(\"countdown-container\"); // Select the countdown container\n countdownContainer.style.display = \"block\"; // Show the countdown container\n\n // Clear the result container to remove old results\n document.getElementById(\"result-container\").innerHTML = \"\"; // Clear previous result\n\n const countdownInterval = setInterval(() => {\n countdownContainer.innerHTML = `Ready in ${countdown}...`; // Update countdown text\n countdown--;\n\n if (countdown < 0) {\n clearInterval(countdownInterval);\n countdownContainer.style.display = \"none\"; // Hide countdown after it's done\n playRound(); // Call playRound to determine the winner\n }\n }, 1000);\n}\n\n","deleted":0,"created_at":"2025-03-27T16:34:08.748381Z","output_tokens":null,"code_id":222120,"input_tokens":null,"id":122451},{"project_id":6680,"sender":"ai","message":"To integrate the Teachable Machine model into your project and control the player based on webcam predictions, we will follow these steps:\n\n1. Load the Teachable Machine model.\n2. Set up the webcam.\n3. Update the player's position based on predictions from the model.\n\nHere's how to modify your existing code:\n\n### Step 1: Include the Teachable Machine library in your HTML\n\nAdd the following script tag in your `index.html` file, right before your script.js file:\n\n```html\n\n```\n\n### Step 2: Update `script.js` to integrate the model\n\n1. Load the model and set up the webcam.\n2. Predict the movement based on the webcam feed and update the player's position accordingly.\n\nHere's the updated code for your `script.js`:\n\n```javascript\n// script.js\nlet player;\nlet jippityPizza;\n\nlet model, webcam, labelContainer, maxPredictions; // Variables for the model and webcam\nlet highestPrediction; // Variable to hold the highest prediction\n\nasync function preload() {\n jippityPizza = loadImage(\"@asset('jippityPizza')\"); // Load the image\n}\n\nfunction setup() {\n createCanvas(windowWidth, windowHeight);\n player = new Player(width / 2, height / 2); // Initialize player in the center\n init(); // Initialize the webcam and model\n}\n\nfunction draw() {\n drawCheckeredBackground(); // Call the function to draw the checkered background\n player.update();\n player.display();\n}\n\nclass Player {\n constructor(x, y) {\n this.x = x;\n this.y = y;\n this.speed = 5;\n }\n\n update() {\n if (highestPrediction) { // Check if highestPrediction is available\n switch (highestPrediction.className) {\n case \"Up\":\n this.y -= this.speed; // Move up\n break;\n case \"Down\":\n this.y += this.speed; // Move down\n break;\n case \"Left\":\n this.x -= this.speed; // Move left\n break;\n case \"Right\":\n this.x += this.speed; // Move right\n break;\n case \"Nothing\":\n // Do nothing\n break;\n }\n }\n }\n\n display() {\n imageMode(CENTER); // Center the image at the (x, y) position\n const size = 50; // Set the desired size for the image\n image(jippityPizza, this.x, this.y, size, size); // Display the scaled image at the player's position\n }\n}\n\nfunction drawCheckeredBackground() {\n const tileSize = 50; // Size of each tile\n for (let y = 0; y < height; y += tileSize) {\n for (let x = 0; x < width; x += tileSize) {\n fill((x / tileSize + y / tileSize) % 2 === 0 ? 255 : 204, (x / tileSize + y / tileSize) % 2 === 0 ? 204 : 204, 204); // Alternate colors\n rect(x, y, tileSize, tileSize); // Draw each tile\n }\n }\n}\n\nasync function init() {\n const URL = \"https://teachablemachine.withgoogle.com/models/eGW5oYhvO/\"; // Your model URL\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n model = await tmImage.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n\n webcam = new tmImage.Webcam(200, 200, true); // Set up the webcam\n await webcam.setup(); // Request access to the webcam\n webcam.play();\n window.requestAnimationFrame(loop);\n}\n\nasync function loop() {\n webcam.update(); // Update the webcam frame\n await predict(); // Get predictions\n window.requestAnimationFrame(loop); // Loop\n}\n\nasync function predict() {\n const prediction = await model.predict(webcam.canvas);\n highestPrediction = prediction[0]; // Assign to global variable\n for (let i = 1; i < maxPredictions; i++) {\n if (prediction[i].probability > highestPrediction.probability) {\n highestPrediction = prediction[i];\n }\n }\n}\n```\n\n### Explanation:\n- **Teachable Machine Integration**: This code initializes the webcam and loads the Teachable Machine model.\n- **Player Movement**: The `update()` method in the `Player` class now moves the player based on the prediction received from the model.\n- **Prediction Loop**: The `loop()` function continuously updates the webcam feed and retrieves predictions from the model.\n\nMake sure to replace the existing code in `script.js` with the updated code above. This will allow the player to move based on the webcam feed and predictions from the Teachable Machine model. Let me know if you have any questions or additional features you'd like to include!","deleted":0,"created_at":"2025-03-27T16:34:08.770978Z","output_tokens":1168,"code_id":222120,"input_tokens":4328,"id":122452},{"project_id":6680,"sender":"human","message":"LOG: \n🌸 p5.js says: p5 had problems creating the global function \"loop\", possibly because your code is already using that name as a variable. You may want to rename your variable to something else. (http://p5js.org/reference/#/p5/loop)","deleted":0,"created_at":"2025-03-27T16:35:30.870203Z","output_tokens":null,"code_id":222126,"input_tokens":null,"id":122453},{"project_id":6680,"sender":"ai","message":"The error you're seeing indicates that the name `loop` is already being used by p5.js as a built-in function. To fix this, we need to rename your `loop` function to something else. \n\nLet's rename the `loop` function to `webcamLoop` to avoid any conflicts. Here's the updated code:\n\n```javascript\n// script.js\nasync function webcamLoop() {\n webcam.update(); // Update the webcam frame\n await predict(); // Get predictions\n window.requestAnimationFrame(webcamLoop); // Loop\n}\n\n// Don't forget to change the function call in the init function as well\nasync function init() {\n // ... existing code\n\n webcam.play();\n window.requestAnimationFrame(webcamLoop); // Change 'loop' to 'webcamLoop'\n}\n```\n\n### Explanation:\n- **Renamed Function**: The `loop` function is now called `webcamLoop`, which prevents any naming conflict with p5.js's built-in loop function.\n- **Function Call Update**: The call to `window.requestAnimationFrame(loop)` has also been updated to `window.requestAnimationFrame(webcamLoop)` in the `init` function.\n\nMake sure to replace the existing `loop` function and update the function call in the `init` function with the code above. This should resolve the error you're encountering. Let me know if there's anything else you'd like to adjust!","deleted":0,"created_at":"2025-03-27T16:35:30.884608Z","output_tokens":318,"code_id":222126,"input_tokens":3503,"id":122454},{"project_id":6680,"sender":"human","message":"show the webcam feed in the top left corner","deleted":0,"created_at":"2025-03-27T16:36:21.027669Z","output_tokens":null,"code_id":222126,"input_tokens":null,"id":122455},{"project_id":6680,"sender":"ai","message":"To display the webcam feed in the top left corner, we need to modify the `init()` function to position the webcam canvas accordingly. We will also ensure that we append the webcam canvas to the DOM so that it appears in the correct location.\n\nHere's how to update the `init()` function to include the webcam feed in the top left corner:\n\n```javascript\n// script.js\nasync function init() {\n const URL = \"https://teachablemachine.withgoogle.com/models/eGW5oYhvO/\"; // Your model URL\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n model = await tmImage.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n\n const flip = true; // whether to flip the webcam\n webcam = new tmImage.Webcam(200, 200, flip); // Set up the webcam\n await webcam.setup(); // Request access to the webcam\n webcam.play();\n\n // Append the webcam canvas to the DOM\n document.body.appendChild(webcam.canvas); // Append webcam canvas to the body\n webcam.canvas.style.position = 'absolute'; // Positioning the canvas\n webcam.canvas.style.top = '0'; // Align to the top\n webcam.canvas.style.left = '0'; // Align to the left\n\n window.requestAnimationFrame(loop);\n}\n```\n\n### Explanation:\n- **Webcam Canvas Positioning**: We set the style of the webcam canvas to be positioned absolutely at the top left corner of the window.\n- **Appending the Webcam Canvas**: The webcam canvas is appended to the body of the document, allowing it to be displayed on the screen.\n\nMake sure to replace the existing `init()` function in your `script.js` with the updated version above. This will allow the webcam feed to be displayed in the top left corner of your project. Let me know if you need any further adjustments!","deleted":0,"created_at":"2025-03-27T16:36:21.059296Z","output_tokens":441,"code_id":222126,"input_tokens":3451,"id":122456},{"project_id":6680,"sender":"human","message":"also show the prediction text below the webcam feed","deleted":0,"created_at":"2025-03-27T16:37:16.635243Z","output_tokens":null,"code_id":222129,"input_tokens":null,"id":122457},{"project_id":6680,"sender":"ai","message":"To show the webcam feed in the top left corner and display the prediction text below it, we need to make a few adjustments. We'll position the webcam canvas correctly and create a container for the prediction text.\n\nHere's how to implement these changes:\n\n### Step 1: Update the `init()` Function\n\nWe'll ensure the webcam canvas is positioned properly and create a new HTML element for displaying the prediction text.\n\n```javascript\n// script.js\nasync function init() {\n const URL = \"https://teachablemachine.withgoogle.com/models/eGW5oYhvO/\"; // Your model URL\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n model = await tmImage.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n\n const flip = true; // whether to flip the webcam\n webcam = new tmImage.Webcam(200, 200, flip); // Set up the webcam\n await webcam.setup(); // Request access to the webcam\n webcam.play();\n\n // Append the webcam canvas to the DOM\n document.body.appendChild(webcam.canvas); // Append webcam canvas to the body\n webcam.canvas.style.position = 'absolute'; // Positioning the canvas\n webcam.canvas.style.top = '0'; // Align to the top\n webcam.canvas.style.left = '0'; // Align to the left\n\n // Create a container for the prediction text\n const predictionContainer = document.createElement('div');\n predictionContainer.id = 'prediction-container';\n predictionContainer.style.position = 'absolute'; // Positioning the container\n predictionContainer.style.top = '210px'; // Position below the webcam\n predictionContainer.style.left = '0'; // Align to the left\n predictionContainer.style.color = 'white'; // Text color\n predictionContainer.style.backgroundColor = 'rgba(0, 0, 0, 0.5)'; // Background for readability\n predictionContainer.style.padding = '10px'; // Padding for the text\n document.body.appendChild(predictionContainer); // Append to body\n\n window.requestAnimationFrame(webcamLoop);\n}\n```\n\n### Step 2: Update the `predict()` Function\n\nMake sure to display the prediction text in the new `prediction-container`.\n\n```javascript\n// script.js\nasync function predict() {\n const prediction = await model.predict(webcam.canvas);\n highestPrediction = prediction[0]; // Assign to global variable\n for (let i = 1; i < maxPredictions; i++) {\n if (prediction[i].probability > highestPrediction.probability) {\n highestPrediction = prediction[i];\n }\n }\n\n // Display the prediction text\n document.getElementById(\"prediction-container\").innerHTML =\n `Prediction: ${highestPrediction.className} (${(highestPrediction.probability * 100).toFixed(2)}%)`;\n}\n```\n\n### Explanation:\n- **Webcam Positioning**: The webcam canvas is positioned at the top left of the window.\n- **Prediction Container**: A new div is created for displaying the prediction text, positioned below the webcam feed.\n- **Text Styling**: The prediction text is styled with a semi-transparent background for better readability against the background.\n\nMake sure to replace the existing `init()` and `predict()` functions in your `script.js` with the updated code above. This will display the webcam feed at the top left and show the prediction text below it. Let me know if you need any further adjustments!","deleted":0,"created_at":"2025-03-27T16:37:16.746778Z","output_tokens":831,"code_id":222129,"input_tokens":3538,"id":122458},{"project_id":6680,"sender":"human","message":"While the model and webcam are loading, show 'Loading AI model...' in the top left corner with the same style of text and background as the label (but dont reuse those variables, create a loading text variable) ","deleted":0,"created_at":"2025-03-27T16:41:08.856613Z","output_tokens":null,"code_id":222143,"input_tokens":null,"id":122459},{"project_id":6680,"sender":"ai","message":"To show the loading text \"Loading AI model...\" in the top left corner while the model and webcam are loading, we'll create a new HTML element for the loading message and style it similarly to the prediction container.\n\nHere’s how to implement these changes:\n\n### Step 1: Update the `init()` Function\n\nWe'll create a new loading text container in the `init()` function:\n\n```javascript\n// script.js\nasync function init() {\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n // Create a loading text container\n const loadingContainer = document.createElement('div');\n loadingContainer.id = 'loading-container';\n loadingContainer.style.position = 'absolute'; // Positioning the container\n loadingContainer.style.top = '0'; // Align to the top\n loadingContainer.style.left = '0'; // Align to the left\n loadingContainer.style.color = 'white'; // Text color\n loadingContainer.style.backgroundColor = 'rgba(0, 0, 0, 0.5)'; // Background for readability\n loadingContainer.style.padding = '10px'; // Padding for the text\n loadingContainer.innerHTML = 'Loading AI model...'; // Loading text\n document.body.appendChild(loadingContainer); // Append to body\n\n model = await tmImage.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n\n const flip = true; // whether to flip the webcam\n webcam = new tmImage.Webcam(200, 200, flip); // Set up the webcam\n await webcam.setup(); // Request access to the webcam\n webcam.play();\n\n // Remove the loading container after setup is complete\n document.body.removeChild(loadingContainer);\n\n // Append the webcam canvas to the DOM\n document.body.appendChild(webcam.canvas); // Append webcam canvas to the body\n webcam.canvas.style.position = 'absolute'; // Positioning the canvas\n webcam.canvas.style.top = '0'; // Align to the top\n webcam.canvas.style.left = '0'; // Align to the left\n\n // Create a container for the prediction text\n const predictionContainer = document.createElement('div');\n predictionContainer.id = 'prediction-container';\n predictionContainer.style.position = 'absolute'; // Positioning the container\n predictionContainer.style.top = '210px'; // Position below the webcam\n predictionContainer.style.left = '0'; // Align to the left\n predictionContainer.style.color = 'white'; // Text color\n predictionContainer.style.backgroundColor = 'rgba(0, 0, 0, 0.5)'; // Background for readability\n predictionContainer.style.padding = '10px'; // Padding for the text\n document.body.appendChild(predictionContainer); // Append to body\n\n window.requestAnimationFrame(webcamLoop);\n}\n```\n\n### Explanation:\n- **Loading Container**: A new div called `loadingContainer` is created to display the loading message.\n- **Loading Text**: The text \"Loading AI model...\" is set as the inner HTML of the loading container.\n- **Removing Loading Container**: After the model and webcam are set up, the loading container is removed from the DOM.\n\nMake sure to replace the existing `init()` function in your `script.js` with the updated version above. This will display the loading message while the model and webcam are initializing. Let me know if you have any other features to add!","deleted":0,"created_at":"2025-03-27T16:41:08.863395Z","output_tokens":816,"code_id":222143,"input_tokens":3758,"id":122460},{"project_id":6680,"sender":"server_script","message":"In order to use your new JavaScript files, add them to the index.html file with the following code:\n```html\n\n\t\n\t\n\n```","deleted":0,"created_at":"2025-03-27T16:47:28.977643Z","output_tokens":null,"code_id":222149,"input_tokens":null,"id":122461},{"project_id":6680,"sender":"server_script","message":"In order to use your new JavaScript files, add them to the index.html file with the following code:\n```html\n\n\t\n\t\n\t\n\n```","deleted":0,"created_at":"2025-03-27T16:49:24.143054Z","output_tokens":null,"code_id":222155,"input_tokens":null,"id":122462},{"project_id":6680,"sender":"server_script","message":"

Add your new assets to the code

\n\n```javascript\nfunction preload() {\n jippityPizza = loadImage(\"@asset('jippityPizza')\"); // Load the image\n\tcoverimg = loadImage(\"@asset('coverimg')\");\n}\n```","deleted":0,"created_at":"2025-03-27T16:52:55.485012Z","output_tokens":null,"code_id":222160,"input_tokens":null,"id":122463},{"project_id":6680,"sender":"server_script","message":"

Add your new assets to the code

\n\n```javascript\nfunction preload() {\n jippityPizza = loadImage(\"@asset('jippityPizza')\"); // Load the image\n\tcoverImgZoomed = loadImage(\"@asset('coverImgZoomed')\");\n}\n```","deleted":0,"created_at":"2025-03-27T16:53:58.799482Z","output_tokens":null,"code_id":222161,"input_tokens":null,"id":122464},{"project_id":6680,"sender":"human","message":"make it so the pizza cant leave the screen","deleted":0,"created_at":"2025-03-29T03:53:23.984451Z","output_tokens":null,"code_id":222161,"input_tokens":null,"id":124269},{"project_id":6680,"sender":"ai","message":"To ensure that the pizza character (player) cannot leave the screen, we need to add boundary checks in the `update()` method of the `Player` class. This will prevent the player from moving outside the canvas area.\n\nHere's how to update the `update()` method in your `Player` class:\n\n```javascript\n// player.js\nclass Player {\n constructor(x, y) {\n this.x = x;\n this.y = y;\n this.speed = 2;\n }\n\n update() {\n if (highestPrediction) { // Check if highestPrediction is available\n switch (highestPrediction.className) {\n case \"Up\":\n this.y -= this.speed; // Move up\n break;\n case \"Down\":\n this.y += this.speed; // Move down\n break;\n case \"Left\":\n this.x -= this.speed; // Move left\n break;\n case \"Right\":\n this.x += this.speed; // Move right\n break;\n case \"Nothing\":\n // Do nothing\n break;\n }\n }\n\n // Boundary checks to prevent leaving the screen\n if (this.x < 0) {\n this.x = 0; // Prevent moving left off the screen\n } else if (this.x > width) {\n this.x = width; // Prevent moving right off the screen\n }\n\n if (this.y < 0) {\n this.y = 0; // Prevent moving up off the screen\n } else if (this.y > height) {\n this.y = height; // Prevent moving down off the screen\n }\n }\n\n display() {\n imageMode(CENTER); // Center the image at the (x, y) position\n const size = 100; // Set the desired size for the image\n image(jippityPizza, this.x, this.y, size, size); // Display the scaled image at the player's position\n }\n}\n```\n\n### Explanation:\n- **Boundary Checks**: \n - After updating the player’s position based on the highest prediction, we check if the player's `x` or `y` coordinates are outside the canvas boundaries.\n - If the player tries to move left beyond `0`, we reset `this.x` to `0`.\n - If the player tries to move right beyond the canvas width, we set `this.x` to `width`.\n - Similar checks are done for the vertical movement to prevent moving beyond the top (`0`) and bottom (`height`) of the canvas.\n\nMake sure to replace the existing `update()` method in your `Player` class with the updated version above. This will prevent the pizza from leaving the screen. Let me know if you need any further changes!","deleted":0,"created_at":"2025-03-29T03:53:23.993947Z","output_tokens":640,"code_id":222161,"input_tokens":4044,"id":124270},{"project_id":6680,"sender":"human","message":"offset by the player height and width too in the boundary chceck","deleted":0,"created_at":"2025-03-29T03:54:28.051974Z","output_tokens":null,"code_id":223584,"input_tokens":null,"id":124271},{"project_id":6680,"sender":"ai","message":"To ensure that the pizza character (player) cannot leave the screen while also considering its height and width, we will adjust the boundary checks in the `update()` method of the `Player` class. \n\nWe'll account for the player's size when checking the boundaries, so the player will remain fully visible within the canvas.\n\nHere's how to update the `update()` method in your `Player` class:\n\n```javascript\n// player.js\nclass Player {\n constructor(x, y) {\n this.x = x;\n this.y = y;\n this.speed = 2;\n this.width = 100; // Width of the player (pizza image)\n this.height = 100; // Height of the player (pizza image)\n }\n\n update() {\n if (highestPrediction) { // Check if highestPrediction is available\n switch (highestPrediction.className) {\n case \"Up\":\n this.y -= this.speed; // Move up\n break;\n case \"Down\":\n this.y += this.speed; // Move down\n break;\n case \"Left\":\n this.x -= this.speed; // Move left\n break;\n case \"Right\":\n this.x += this.speed; // Move right\n break;\n case \"Nothing\":\n // Do nothing\n break;\n }\n }\n\n // Boundary checks to prevent leaving the screen\n if (this.x < this.width / 2) {\n this.x = this.width / 2; // Prevent moving left off the screen\n } else if (this.x > width - this.width / 2) {\n this.x = width - this.width / 2; // Prevent moving right off the screen\n }\n\n if (this.y < this.height / 2) {\n this.y = this.height / 2; // Prevent moving up off the screen\n } else if (this.y > height - this.height / 2) {\n this.y = height - this.height / 2; // Prevent moving down off the screen\n }\n }\n\n display() {\n imageMode(CENTER); // Center the image at the (x, y) position\n image(jippityPizza, this.x, this.y, this.width, this.height); // Display the scaled image at the player's position\n }\n}\n```\n\n### Explanation:\n- **Width and Height Variables**: Added `this.width` and `this.height` to represent the dimensions of the pizza character.\n- **Boundary Checks**: Adjusted the boundary checks to consider the player's dimensions:\n - For the left boundary, check if `this.x < this.width / 2`.\n - For the right boundary, check if `this.x > width - this.width / 2`.\n - For the top boundary, check if `this.y < this.height / 2`.\n - For the bottom boundary, check if `this.y > height - this.height / 2`.\n\nMake sure to replace the existing `update()` method in your `Player` class with the updated version above. This will ensure that the pizza character stays fully visible within the canvas. Let me know if you need any further adjustments!","deleted":0,"created_at":"2025-03-29T03:54:28.147362Z","output_tokens":728,"code_id":223584,"input_tokens":4163,"id":124272}],"assets":[{"cloudinary_id":"rpf07vvs9lh25mklolto","name":"coverImgZoomed","deleted":false,"id":63353,"created_at":"2025-03-27T16:53:57.564430Z","project_id":6680,"resource_type":"image"},{"cloudinary_id":"plmfkjefga6vxc3k6rim","name":"coverimg","deleted":false,"id":63352,"created_at":"2025-03-27T16:52:54.813521Z","project_id":6680,"resource_type":"image"},{"cloudinary_id":"ywjuuxfygftf6cbkzz3j","name":"jippityPizza","deleted":false,"id":63351,"created_at":"2025-03-27T16:31:11.734919Z","project_id":6680,"resource_type":"image"}],"messages_sent":13,"comments":[{"content":"Kamehamebameramelamepamewametameyamejamegameha","id":1096,"user_id":192,"user":{"photo":null,"email":null,"recess_id":"cfb1457c-ce90-4d98-a6ed-7abb46cfc301","created_at":"2024-08-21T18:42:26.417915Z","reset_token":null,"stripe_customer_id":null,"seats":null,"username":"xamseygo","id":192,"password_hash":null,"updated_at":"2024-08-21T18:42:26.417918Z","reset_token_expiry":null,"subscription_status":null},"project_id":6680,"created_at":"2025-03-27T19:15:40.316170Z","updated_at":"2025-03-27T19:15:40.316175Z"}],"steps":[]}