TransformersJS Fun Chatbot Game

{"name":"TransformersJS Fun Chatbot Game","description":"Create an interactive game using the 'transformersjs' library where players can chat with and control a fun, quirky chatbot character. Dive into the world of natural language processing and gaming with this unique project!","photo":null,"view_count":15,"fork_count":1,"expires_at":null,"created_at":"2024-04-26T17:02:23.689636Z","updated_at":"2024-04-26T17:02:23.689637Z","user_id":2,"status":"PRIVATE","parent_id":null,"id":1272,"user":{"photo":null,"email":null,"recess_id":"a75a82d5-5ae6-41b7-d20f-788415be036d","created_at":"2023-12-11T22:13:50.357940Z","reset_token":null,"stripe_customer_id":null,"seats":null,"username":"gamerc0der","id":2,"password_hash":null,"updated_at":"2023-12-11T22:13:50.357943Z","reset_token_expiry":null,"subscription_status":null},"code":{"script.js":"","style.css":"body, html {\r\n margin: 0;\r\n padding: 0;\r\n overflow-x: hidden; /* Hides horizontal scrollbar */\r\n height: 100%;\r\n background-color: #1e1e2f; /* Dark background color */\r\n color: #ffffff; /* Light text color */\r\n font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\r\n}\r\n\r\n.container {\r\n max-width: 960px;\r\n margin: 20px auto;\r\n padding: 20px;\r\n background-color: #2a2a40; /* Slightly lighter dark shade for the container */\r\n border-radius: 8px; /* Rounded corners */\r\n box-shadow: 0 4px 8px rgba(0,0,0,0.2); /* Subtle shadow for depth */\r\n}\r\n\r\nheader h1 {\r\n color: #4cd137; /* Vibrant green for the header */\r\n text-align: center;\r\n margin-bottom: 40px;\r\n}\r\n\r\n.input-area {\r\n text-align: center;\r\n margin-bottom: 30px;\r\n}\r\n\r\n#userInput {\r\n width: calc(100% - 40px);\r\n max-width: 400px;\r\n padding: 12px 20px;\r\n font-size: 16px;\r\n border-radius: 20px;\r\n border: none; /* Remove border */\r\n background-color: #40405c; /* Darker input field for contrast */\r\n color: #ffffff; /* Light text color */\r\n box-shadow: inset 0 2px 4px rgba(0,0,0,0.2); /* Inner shadow for depth */\r\n}\r\n\r\n#userInput:focus {\r\n outline: none;\r\n background-color: #48486c; /* Slightly lighter on focus */\r\n box-shadow: inset 0 2px 4px rgba(0,0,0,0.3); /* Deeper inset shadow on focus */\r\n}\r\n\r\n.chart-area {\r\n width: 100%;\r\n max-width: 600px;\r\n margin: 0 auto;\r\n}\r\n\r\n#sentimentChart {\r\n width: 100%;\r\n height: auto;\r\n}\r\n\r\n@media (min-width: 768px) {\r\n .container {\r\n padding: 40px;\r\n }\r\n}","index.html":"\n\n\n\n \n \n TransformersJS Fun Chatbot Game\n \n\n\n\n \n

\n\n \n \n\n\n\n"},"chat_history":[{"project_id":1272,"sender":"human","message":"take the current ui and make it more profesional","deleted":0,"created_at":"2024-04-26T17:26:38.563789Z","output_tokens":null,"code_id":71577,"input_tokens":null,"id":38459},{"project_id":1272,"sender":"ai","message":"```css\nbody, html {\n margin: 0;\n padding: 0;\n overflow-x: hidden; /* Hides horizontal scrollbar */\n height: 100%;\n background-color: #1e1e2f; /* Dark background color */\n color: #ffffff; /* Light text color */\n font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\n}\n\n.container {\n max-width: 960px;\n margin: 20px auto;\n padding: 20px;\n background-color: #2a2a40; /* Slightly lighter dark shade for the container */\n border-radius: 8px; /* Rounded corners */\n box-shadow: 0 4px 8px rgba(0,0,0,0.2); /* Subtle shadow for depth */\n}\n\nheader h1 {\n color: #4cd137; /* Vibrant green for the header */\n text-align: center;\n margin-bottom: 40px;\n}\n\n.input-area {\n text-align: center;\n margin-bottom: 30px;\n}\n\n#userInput {\n width: calc(100% - 40px);\n max-width: 400px;\n padding: 12px 20px;\n font-size: 16px;\n border-radius: 20px;\n border: none; /* Remove border */\n background-color: #40405c; /* Darker input field for contrast */\n color: #ffffff; /* Light text color */\n box-shadow: inset 0 2px 4px rgba(0,0,0,0.2); /* Inner shadow for depth */\n}\n\n#userInput:focus {\n outline: none;\n background-color: #48486c; /* Slightly lighter on focus */\n box-shadow: inset 0 2px 4px rgba(0,0,0,0.3); /* Deeper inset shadow on focus */\n}\n\n.chart-area {\n width: 100%;\n max-width: 600px;\n margin: 0 auto;\n}\n\n#sentimentChart {\n width: 100%;\n height: auto;\n}\n\n@media (min-width: 768px) {\n .container {\n padding: 40px;\n }\n}\n```\n\n- Updated the `background-color` of the body for a modern dark theme and changed the font family to 'Segoe UI' for a more professional look.\n- Modified the `.container` with a subtle `box-shadow` and `border-radius` for a card-like appearance, enhancing the visual depth and making it stand out against the dark background.\n- Changed the `header h1` color to a vibrant green, providing a pop of color that draws attention while maintaining readability.\n- Adjusted the `#userInput` to have no border, a background color that contrasts with the container, and an inner shadow to provide depth, improving the focus state with a lighter background and deeper shadow for better user interaction feedback.\n- Ensured the design is responsive with a media query, maintaining a professional appearance across different screen sizes.","deleted":0,"created_at":"2024-04-26T17:26:38.571411Z","output_tokens":null,"code_id":71577,"input_tokens":null,"id":38460},{"project_id":1272,"sender":"human","message":"make the charts better","deleted":0,"created_at":"2024-04-26T17:28:37.366283Z","output_tokens":null,"code_id":71587,"input_tokens":null,"id":38461},{"project_id":1272,"sender":"ai","message":"```javascript\nconst ctx = document.getElementById('sentimentChart').getContext('2d');\nlet sentimentChart = new Chart(ctx, {\n type: 'doughnut', // Changed from 'pie' to 'doughnut' for a modern look\n data: {\n labels: ['Positive', 'Negative', 'Neutral'],\n datasets: [{\n label: 'Sentiment Score',\n data: [0, 0, 0], // Initialize all slices with 0\n backgroundColor: [\n 'rgba(76, 175, 80, 0.7)', // Positive: Brighter Green\n 'rgba(244, 67, 54, 0.7)', // Negative: Brighter Red\n 'rgba(255, 235, 59, 0.7)' // Neutral: Brighter Yellow\n ],\n borderColor: [\n 'rgba(76, 175, 80, 1)',\n 'rgba(244, 67, 54, 1)',\n 'rgba(255, 235, 59, 1)'\n ],\n borderWidth: 2,\n hoverOffset: 4 // Slightly enlarges the segment on hover\n }]\n },\n options: {\n responsive: true,\n maintainAspectRatio: false, // Ensures that the chart is responsive and fits well in its container\n plugins: {\n legend: {\n position: 'bottom', // Moves the legend to the bottom for better visibility\n labels: {\n font: {\n size: 14 // Increases font size for better readability\n }\n }\n },\n title: {\n display: true,\n text: 'Sentiment Analysis Result',\n font: {\n size: 18 // Increases title font size for emphasis\n }\n }\n },\n animation: {\n animateScale: true, // Smooth scaling animation when the chart appears\n animateRotate: true // Smooth rotation animation for a dynamic feel\n }\n }\n});\n```\n\n- **Type Change to Doughnut**: The chart type has been changed from `pie` to `doughnut` for a more modern and visually appealing design. Doughnut charts can display data similarly to pie charts but with a centered hole, adding a stylish touch.\n- **Color and Border Adjustments**: The colors for the segments have been brightened for better contrast and visual appeal. The border width has been increased to `2` for clearer segmentation, and hover effects have been added for interactive feedback.\n- **Legend and Title Customization**: The legend's position has been moved to the bottom, and the font size has been increased for better readability. The title has also seen font size adjustments and now serves as a clearer indicator of the chart's purpose.\n- **Responsive and Aspect Ratio**: By setting `maintainAspectRatio` to `false`, the chart becomes more responsive and better fits its container. This adjustment ensures that the chart maintains its proportions across different screen sizes and resolutions.\n- **Animation Enhancements**: Smooth scaling and rotation animations have been introduced to the chart's initial render and update phases. These animations provide a dynamic visual effect that makes the data presentation more engaging.","deleted":0,"created_at":"2024-04-26T17:28:37.376439Z","output_tokens":null,"code_id":71587,"input_tokens":null,"id":38462},{"project_id":1272,"sender":"human","message":"remove LOG No model specified. Using default model: \"Xenova/distilbert-base-uncased-finetuned-sst-2-english\".\n","deleted":0,"created_at":"2024-04-26T17:35:02.565884Z","output_tokens":null,"code_id":71612,"input_tokens":null,"id":38473},{"project_id":1272,"sender":"ai","message":"To address the message \"No model specified. Using default model: 'Xenova/distilbert-base-uncased-finetuned-sst-2-english'.\", you can explicitly specify the model when you call the `pipeline` function for sentiment analysis. This way, you inform the library exactly which model to use, avoiding the fallback to a default model and thus eliminating the log message regarding the default model selection.\n\nHere's how you can modify the `analyzeSentiment` function in your script to explicitly specify the model:\n\n```javascript\nasync function analyzeSentiment(text) {\n // Explicitly specifying the model to use\n const model = 'Xenova/distilbert-base-uncased-finetuned-sst-2-english';\n const pipe = await pipeline('sentiment-analysis', model);\n return pipe(text);\n}\n```\n\n- **Explicit Model Specification**: By providing the model identifier (`'Xenova/distilbert-base-uncased-finetuned-sst-2-english'`) directly to the `pipeline` function, you explicitly specify which model to use for sentiment analysis.\n- **Eliminates the Log Message**: Specifying the model directly prevents the library from logging a message about falling back to a default model, as you've clearly instructed which model to use.\n- **Maintains Functionality**: This change does not alter the core functionality of your sentiment analysis; it simply makes the model selection explicit, ensuring clarity and possibly improving future maintainability of the code.","deleted":0,"created_at":"2024-04-26T17:35:02.575470Z","output_tokens":null,"code_id":71612,"input_tokens":null,"id":38474},{"project_id":1272,"sender":"human","message":"add a loading model screen","deleted":0,"created_at":"2024-04-26T17:40:10.854429Z","output_tokens":null,"code_id":71629,"input_tokens":null,"id":38483},{"project_id":1272,"sender":"ai","message":"To add a loading model screen to your project, you'll need to modify your HTML to include a loading overlay and adjust your JavaScript to control its visibility. Here's how you can do it:\n\n### Step 1: Update Your HTML\n\nAdd a loading overlay div inside your body tag, right after the opening body tag or before your main container div.\n\n```html\n

\n Loading Model...\n

\n```\n\n### Step 2: Adjust Your JavaScript\n\nUpdate your JavaScript to show the loading overlay when you start loading the model and hide it once the model is ready. This involves modifying the `analyzeSentiment` function:\n\n```javascript\nasync function analyzeSentiment(text) {\n // Show loading overlay\n document.getElementById('loadingOverlay').style.display = 'flex';\n \n const model = 'Xenova/distilbert-base-uncased-finetuned-sst-2-english';\n const pipe = await pipeline('sentiment-analysis', model);\n \n // Hide loading overlay\n document.getElementById('loadingOverlay').style.display = 'none';\n \n return pipe(text);\n}\n```\n\n### Explanation\n\n- **HTML Overlay**: The `div` added acts as an overlay screen, covering the entire viewport with a semi-transparent black background. It includes text indicating that the model is loading. Initially, it's set to `display: none;` to keep it hidden.\n- **CSS Styles Inline**: For simplicity, styles are included directly within the `div` tag, setting it up to be a flex container. This centers the loading text both horizontally and vertically. Adjust `font-size`, `background`, and `color` as needed to fit your design.\n- **JavaScript Show/Hide Logic**: Before initiating the model loading (`pipeline`), the overlay is displayed by setting its `display` to `flex`, centering the text. Once the model is loaded and the `pipeline` function resolves, the overlay is hidden again by setting its `display` to `none`.\n- **Flex Display for Centering**: Using `display: flex;` along with `justify-content: center;` and `align-items: center;` centers the loading message on the screen, providing a clear visual cue to users that the model is loading.\n\nThis approach gives a clear indication to the user that the model is being loaded, enhancing the user experience by providing feedback during potentially long operations.","deleted":0,"created_at":"2024-04-26T17:40:10.862297Z","output_tokens":null,"code_id":71629,"input_tokens":null,"id":38484},{"project_id":1272,"sender":"human","message":"code a chat ui that uses https://28de-75-55-252-7.ngrok-free.app/generate\nit post requests to it \n{\n \"prompt\": \"What is the meaning of life?\"\n}\nand console.logs generatedtext","deleted":0,"created_at":"2024-04-26T17:46:45.288683Z","output_tokens":null,"code_id":71649,"input_tokens":null,"id":38495},{"project_id":1272,"sender":"ai","message":"To create a chat UI that interacts with the provided endpoint (`https://28de-75-55-252-7.ngrok-free.app/generate`) using POST requests, you'll need to update both your HTML to include the chat interface and your JavaScript to handle sending the prompt to the endpoint and receiving the response. Here's how to set it up:\n\n### Step 1: Update Your HTML\n\nAdd the chat interface elements to your `index.html`:\n\n```html\n

\n \n \n

\n```\n\n### Step 2: Add CSS for Chat UI\n\nAdd the following CSS to your `style.css` to style the chat interface:\n\n```css\n.chat-container {\n margin: 20px;\n padding: 10px;\n background-color: #33334d;\n border-radius: 8px;\n}\n\n.chat-output {\n height: 200px;\n overflow-y: auto;\n background-color: #252540;\n padding: 10px;\n margin-bottom: 10px;\n border-radius: 6px;\n}\n\n#chatInput {\n width: 70%;\n padding: 10px;\n border-radius: 4px;\n border: 1px solid #57576c;\n background-color: #40405c;\n color: white;\n}\n\n#sendButton {\n width: 20%;\n padding: 10px;\n margin-left: 5%;\n border-radius: 4px;\n border: none;\n background-color: #4cd137;\n color: white;\n cursor: pointer;\n}\n```\n\n### Step 3: JavaScript for Sending Prompt and Receiving Response\n\nAdd the JavaScript code to handle the chat functionality:\n\n```javascript\ndocument.getElementById('sendButton').addEventListener('click', function() {\n const promptText = document.getElementById('chatInput').value;\n sendPrompt(promptText);\n});\n\nasync function sendPrompt(prompt) {\n const response = await fetch('https://28de-75-55-252-7.ngrok-free.app/generate', {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n },\n body: JSON.stringify({ prompt: prompt }),\n });\n\n const data = await response.json();\n console.log(data.generatedtext);\n\n // Displaying the response in the chat output\n displayResponse(data.generatedtext);\n}\n\nfunction displayResponse(response) {\n const chatOutput = document.getElementById('chatOutput');\n const messageElement = document.createElement('div');\n messageElement.textContent = \"Bot: \" + response;\n chatOutput.appendChild(messageElement);\n}\n```\n\n### Explanation\n\n- **HTML Chat Interface**: The chat interface consists of a display area (`chatOutput`), an input field (`chatInput`), and a send button (`sendButton`). Users can type their questions into the input field and submit them by clicking the send button.\n- **CSS Styling**: The CSS styles added give a basic yet visually appealing design to the chat UI, with distinct areas for input, output, and the send button. The styles can be further customized to match your overall design theme.\n- **JavaScript Functionality**:\n - An event listener is added to the send button to capture clicks and trigger the sending of the user's input as a prompt to the specified endpoint.\n - The `sendPrompt` function sends the user's input to the endpoint using a POST request, awaits the response, and logs the generated text to the console.\n - The `displayResponse` function adds the chatbot's response to the chat output area, allowing the user to see the conversation history.\n\nThis setup provides a basic chat interface that communicates with the provided endpoint, displaying the chatbot's responses to user prompts.","deleted":0,"created_at":"2024-04-26T17:46:45.295936Z","output_tokens":null,"code_id":71649,"input_tokens":null,"id":38496},{"project_id":1272,"sender":"human","message":"responds 200 but i dont get anything","deleted":0,"created_at":"2024-04-26T17:47:49.425340Z","output_tokens":null,"code_id":71655,"input_tokens":null,"id":38497},{"project_id":1272,"sender":"ai","message":"Given that you're receiving a `200` status code from the server but not seeing any response output, it's possible that the issue lies in how the response is being handled or displayed. Let's debug and enhance your current JavaScript function to ensure it properly processes and displays the response from the server. \n\nOne common issue could be the structure of the response data not being as expected. It's crucial to confirm that `data.generatedtext` correctly accesses the response content. If the response structure is different, accessing the expected data might fail, leading to nothing being displayed.\n\nFirst, let's add error handling to your `fetch` request to catch any issues during the request or response processing. Then, we'll log the entire response to ensure we're receiving what we expect.\n\nUpdate your `sendPrompt` function as follows:\n\n```javascript\nasync function sendPrompt(prompt) {\n try {\n const response = await fetch('https://28de-75-55-252-7.ngrok-free.app/generate', {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n },\n body: JSON.stringify({ prompt: prompt }),\n });\n\n if (!response.ok) {\n throw new Error(`HTTP error! status: ${response.status}`);\n }\n\n const data = await response.json();\n console.log(\"Full response data:\", data); // Log the full response data\n\n // Assuming 'generatedtext' is the correct key, but verify this against logged response\n if(data.generatedtext) {\n console.log(data.generatedtext);\n displayResponse(data.generatedtext);\n } else {\n console.error(\"Response does not contain 'generatedtext'. Check the structure of the response.\");\n // Optionally handle this case in the UI, e.g., display a default message\n }\n } catch (error) {\n console.error(\"Fetch error:\", error.message);\n // Optionally handle this error in the UI, e.g., display an error message\n }\n}\n```\n\n### Key Updates and Checks:\n\n- **Error Handling**: The `try...catch` block will catch any errors that occur during the fetch request or response processing, including network errors or if the response is not OK (`!response.ok`).\n- **Log Full Response**: Logging the full response data (`data`) helps verify the structure of the response you're receiving from the server. Ensure that `generatedtext` is indeed the correct property that contains the response text you're expecting.\n- **Check Response Structure**: The conditional check for `data.generatedtext` ensures that you're only trying to display the text if it exists. If the structure is different, adjust the property access accordingly.\n- **Console Error for Missing `generatedtext`**: If the expected property is missing, it logs an error to the console. This is a hint to check the response structure and adjust your code accordingly.\n\nBy implementing these changes, you can diagnose the issue more effectively. Ensure that your server is responding with the expected structure and that there are no unnoticed errors during the request or response processing.","deleted":0,"created_at":"2024-04-26T17:47:49.433147Z","output_tokens":null,"code_id":71655,"input_tokens":null,"id":38498},{"project_id":1272,"sender":"human","message":"says ERROR Fetch error:,Failed to fetch\n but server gives 200 OK","deleted":0,"created_at":"2024-04-26T17:48:42.248968Z","output_tokens":null,"code_id":71658,"input_tokens":null,"id":38501},{"project_id":1272,"sender":"ai","message":"When you encounter a \"Failed to fetch\" error despite the server responding with a `200 OK` status, the issue might not be with the server's response itself but rather with how the request is made or how the response is being handled. This error can also be indicative of issues related to CORS (Cross-Origin Resource Sharing) policy, network problems, or incorrect request setup. Given that you're sure the server gives a `200 OK`, let's explore and address potential causes:\n\n### 1. Check for CORS Issues\nA common cause for \"Failed to fetch\" errors, especially when calling APIs or back-end services hosted on different domains, is the CORS policy. If the server isn't configured to allow requests from your domain, the browser will block the request.\n\n- **Server-Side Fix**: Ensure the server (`https://28de-75-55-252-7.ngrok-free.app/generate`) is configured to accept requests from your domain. This typically involves setting the `Access-Control-Allow-Origin` header to your domain or `*` (wildcard) to allow requests from any domain.\n- **Development-Only Workaround**: For development purposes, you might use browser extensions or tools that allow you to bypass CORS policies. Be cautious, as these should not be used in production due to security concerns.\n\n### 2. Verify the Request Setup\n- Ensure your fetch request is correctly formatted.\n- Double-check the URL and headers.\n- Confirm that the server accepts `POST` requests with JSON bodies and that your `Content-Type` header is correctly set.\n\n### 3. Network Issues or Incorrect Endpoint\n- Verify the endpoint URL is correct and accessible. Since ngrok URLs are temporary, ensure that the URL hasn't expired or changed.\n- Test the endpoint using tools like Postman or curl to ensure it's operational and not blocked by firewalls or network configurations.\n\n### 4. Handling Asynchronous Operations Correctly\nYour current setup with async/await seems correct, but ensure any calling function is also properly handling asynchronous operations.\n\n### 5. Debugging and Further Steps\n- Use browser Developer Tools (Network tab) to inspect the failed request. This can provide clues such as the request being blocked by the browser, incorrect request headers, etc.\n- Check the server logs if you have access, to see if the requests are reaching the server and being processed correctly.\n\nGiven the potential CORS issue, here's a quick check you can add to your code to handle fetch errors more gracefully and provide more information:\n\n```javascript\n.catch(error => {\n console.error(\"Fetch error:\", error.message);\n if (error.message.includes('Failed to fetch')) {\n console.error(\"This might be a CORS issue or a network error. Please check the console for more details.\");\n }\n});\n```\n\nAdd this `.catch` block at the end of your fetch chain to catch and log any errors not caught by the try/catch block.\n\nIf CORS is the issue and you have control over the server, configure it to allow requests from your domain. If you don't control the server, you might need to contact the server administrator or use a server-side proxy on your domain that forwards requests to the ngrok address, thereby circumventing CORS issues in the browser.","deleted":0,"created_at":"2024-04-26T17:48:42.255533Z","output_tokens":null,"code_id":71658,"input_tokens":null,"id":38502}],"assets":[],"messages_sent":17,"comments":[{"content":"🔥","id":538,"user_id":8,"user":{"photo":null,"email":null,"recess_id":"3f5f8324-2a21-d8d3-2d39-c7ba5cf76110","created_at":"2023-12-12T14:12:57.257630Z","reset_token":null,"stripe_customer_id":null,"seats":null,"username":"baian","id":8,"password_hash":null,"updated_at":"2023-12-12T14:12:57.257633Z","reset_token_expiry":null,"subscription_status":null},"project_id":1272,"created_at":"2024-04-26T17:48:49.447449Z","updated_at":"2024-04-26T17:48:49.447451Z"}],"steps":[{"instruction":"Create a chatbot character with interactive responses and personality.","title":"Implement a chatbot character","created_at":"2024-04-26T17:02:23.702123","project_id":1272,"complete":false,"step_number":0,"updated_at":"2024-04-26T17:02:23.702125","id":6737},{"instruction":"Enable players to control the movement of the chatbot character within the game environment.","title":"Chatbot movement controls","created_at":"2024-04-26T17:02:23.702188","project_id":1272,"complete":false,"step_number":1,"updated_at":"2024-04-26T17:02:23.702188","id":6738},{"instruction":"Implement dialogue and conversation mechanics for the chatbot character to engage with players.","title":"Conversation-based interactions","created_at":"2024-04-26T17:02:23.702230","project_id":1272,"complete":false,"step_number":2,"updated_at":"2024-04-26T17:02:23.702230","id":6739},{"instruction":"Incorporate scoring and achievements based on the interactions and conversations with the chatbot.","title":"Score and achievements","created_at":"2024-04-26T17:02:23.702270","project_id":1272,"complete":false,"step_number":3,"updated_at":"2024-04-26T17:02:23.702270","id":6740},{"instruction":"Design and implement a visually appealing game environment for the chatbot character to interact within.","title":"Visual game environment","created_at":"2024-04-26T17:02:23.702309","project_id":1272,"complete":false,"step_number":4,"updated_at":"2024-04-26T17:02:23.702309","id":6741},{"instruction":"Introduce mini-games and challenges for the chatbot character and players to participate in.","title":"Mini-games and challenges","created_at":"2024-04-26T17:02:23.702348","project_id":1272,"complete":false,"step_number":5,"updated_at":"2024-04-26T17:02:23.702349","id":6742},{"instruction":"Add engaging sound effects and background music to enhance the gaming experience.","title":"Sound effects and music","created_at":"2024-04-26T17:02:23.702386","project_id":1272,"complete":false,"step_number":6,"updated_at":"2024-04-26T17:02:23.702387","id":6743},{"instruction":"Include a multiplayer mode where players can interact with the chatbot character together and compete in challenges.","title":"Multiplayer mode","created_at":"2024-04-26T17:02:23.702424","project_id":1272,"complete":false,"step_number":7,"updated_at":"2024-04-26T17:02:23.702425","id":6744}]}