bread boy

{"name":"Jippity Junior: AI Chatbot Extraordinaire","description":"Engage in conversations with Jippity Junior, a chatbot-like AI designed to greet users, respond to input, maintain conversational flow, handle common queries, have a unique personality and tone, learn and adapt over time, and pull information from the dictionary and Wikipedia.","photo":null,"view_count":7,"fork_count":1,"expires_at":null,"created_at":"2024-01-10T16:04:04.396373Z","updated_at":"2024-01-10T16:04:04.396375Z","user_id":20,"status":"PUBLIC","parent_id":219,"id":322,"user":{"username":"easton","id":20,"password_hash":null,"updated_at":"2023-12-13T22:03:27.288320Z","reset_token_expiry":null,"subscription_status":null,"photo":null,"email":null,"recess_id":"93334261-e433-7134-983b-ed13d90349f5","created_at":"2023-12-13T22:03:27.288318Z","reset_token":null,"stripe_customer_id":null,"seats":null},"code":{"script.js":"window.onload = function () {\n var greetingContainer = document.getElementById(\"greetingContainer\");\n greetingContainer.innerHTML = \"Hello! I'm Jippity Junior. How may I assist you today?\";\n};\n\nconst API_KEY = \"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\";\nconst API_ENDPOINT = \"https://api.openai.com/v1/engines/davinci-codex/completions\";\n\nfunction drawJim() {\n var jimSprite = document.getElementById(\"jimSprite\");\n jimSprite.style.display = \"block\";\n}\n\nfunction callGpt3Api(textInput) {\n // Check if the user asked about bread preference\n if (textInput.toLowerCase().includes(\"what bread do you want\")) {\n // Choose a random response\n const responses = [\"banana bread\", \"rainbow banana bread\"];\n const response = responses[Math.floor(Math.random() * responses.length)];\n // Return a Promise that resolves with the response\n return Promise.resolve(`I'd like some ${response}, please.`);\n }\n\n const data = {\n \"prompt\": textInput,\n \"max_tokens\": 60\n }\n\n return fetch(API_ENDPOINT, {\n method: \"POST\",\n headers: {\n 'Authorization': `Bearer ${API_KEY}`,\n 'Content-Type': 'application/json'\n },\n body: JSON.stringify(data)\n })\n .then(response => response.json())\n .then(data => {\n if (data && data['choices'] && data['choices'][0] && data['choices'][0]['message'] && data['choices'][0]['message']['content']) {\n return data['choices'][0]['message']['content'];\n } else {\n throw new Error('Unexpected API response');\n }\n });\n}\n\nvar userInputField = document.getElementById(\"userInput\");\nvar sendButton = document.getElementById(\"sendButton\");\nvar conversationContainer = document.getElementById(\"conversationContainer\");\n\nsendButton.addEventListener(\"click\", function () {\n var userInput = userInputField.value;\n\n if (userInput) {\n var userMessageElement = document.createElement(\"p\");\n userMessageElement.textContent = `You: ${userInput}`;\n conversationContainer.appendChild(userMessageElement);\n\n callGpt3Api(userInput)\n .then(response => {\n var aiMessage = response;\n var aiMessageElement = document.createElement(\"p\");\n aiMessageElement.textContent = `Jippity Junior: ${aiMessage}`;\n conversationContainer.appendChild(aiMessageElement);\n speakText(aiMessage);\n })\n .catch(error => console.error(\"API Error:\", error));\n\n userInputField.value = \"\";\n }\n});\n\nfunction speakText(text) {\n var utterance = new SpeechSynthesisUtterance(text);\n var voices = window.speechSynthesis.getVoices();\n if (voices.length > 1) utterance.voice = voices[1];\n window.speechSynthesis.speak(utterance);\n}\n\ndocument.addEventListener('keydown', handleKeyPress);\n\nfunction handleKeyPress(e) {\n var settingsMenu = document.getElementById('settingsMenu');\n\n if (e.key == 'e') {\n settingsMenu.style.display = 'block';\n } else if (e.key == 'Escape') {\n settingsMenu.style.display = 'none';\n }\n}","style.css":"body {\n font-family: Arial, sans-serif;\n background-color: green;\n}\n\n#greetingContainer {\n margin-bottom: 20px;\n}\n\n#userInput {\n width: 300px;\n height: 30px;\n padding: 5px;\n font-size: 16px;\n}\n\n#sendButton {\n height: 40px;\n margin-left: 10px;\n font-size: 16px;\n}\n\n#userMessage {\n background-color: blue;\n color: white;\n padding: 5px;\n margin: 10px 0;\n font-size: 16px;\n}\n\n#conversationContainer p {\n background-color: lightgreen;\n padding: 10px;\n margin: 10px 0;\n border-radius: 5px;\n}","index.html":"\n\n\n\n \n \n bread boy\n \n\n\n\n

\n \n \n

Settings Menu

Some settings...

\n \n\n\n\n\n

"},"chat_history":[{"deleted":0,"code_id":18748,"input_tokens":null,"id":11793,"project_id":322,"sender":"human","message":"Let's get started!","created_at":"2024-01-10T18:49:23.283523Z","output_tokens":null},{"deleted":0,"code_id":18748,"input_tokens":null,"id":11794,"project_id":322,"sender":"ai","message":"Absolutely! From the stage description, it seems like the primary task is to develop the conversational capabilities of the chatbot, Jippity Junior. The chatbot should be able to greet users, respond to input, maintain conversational flow, handle common queries, have a unique personality and tone, learn and adapt over time, and pull information from the dictionary and Wikipedia.\n\nSince you are a beginner, let's break this down and start with a simple task: making the chatbot greet users differently each time they load the page. This will make the chatbot feel more dynamic and engaging.\n\nHere is a new version of the `window.onload` function that will make Jippity Junior greet users with a random greeting each time they load the page:\n\n```javascript\nvar greetings = [\n \"Hello! I'm Jippity Junior. How may I assist you today?\",\n \"Hi there! Jippity Junior at your service. What can I do for you?\",\n \"Greetings! Jippity Junior here, ready to help. What's up?\",\n \"Howdy! Jippity Junior is the name, assisting is the game. How can I assist you?\",\n \"Hey! Jippity Junior here. How can I make your day better?\",\n]\n\nwindow.onload = function () {\n var greetingContainer = document.getElementById(\"greetingContainer\");\n var randomGreeting = greetings[Math.floor(Math.random() * greetings.length)];\n greetingContainer.innerHTML = randomGreeting;\n};\n```\n\nHere is how this code works:\n\n- The `greetings` array is a list of different greetings that Jippity Junior can use.\n- When the page loads (`window.onload`), the code chooses a random greeting from the `greetings` array.\n - `Math.random()` generates a random number between 0 (inclusive) and 1 (exclusive).\n - Multiplying `Math.random()` by `greetings.length` gives a random index for the `greetings` array.\n - `Math.floor()` rounds this number down to the nearest whole number, ensuring it is a valid index for the array.\n- The chosen greeting is added to the `greetingContainer` using `.innerHTML`.\n\nIn the next step, let's focus on enhancing the conversational flow and handling common queries.","created_at":"2024-01-10T18:49:23.289528Z","output_tokens":null},{"deleted":0,"code_id":18750,"input_tokens":null,"id":11797,"project_id":322,"sender":"human","message":"load my sprite named jim","created_at":"2024-01-10T18:50:16.428013Z","output_tokens":null},{"deleted":0,"code_id":18750,"input_tokens":null,"id":11798,"project_id":322,"sender":"ai","message":"To load your sprite named 'jim', you can use the `@asset` preprocessor in an `` tag in your HTML. Here is an example:\n\n```html\n

\n```\nHere's the explanation:\n\n- The `` tag is used to embed images in a webpage.\n- The `src` attribute in the `` tag is used to specify the source URL of the image.\n- The `@asset('jim')` will return the correct filepath for the image named 'jim'.\n- The `id=\"jimSprite\"` makes it possible to reference this image in your CSS or JavaScript code. For example, you could use JavaScript to change the image source, or CSS to change the image's appearance.","created_at":"2024-01-10T18:50:16.433717Z","output_tokens":null},{"deleted":0,"code_id":18754,"input_tokens":null,"id":11799,"project_id":322,"sender":"human","message":"daw my sprite named jim","created_at":"2024-01-10T18:51:20.544093Z","output_tokens":null},{"deleted":0,"code_id":18754,"input_tokens":null,"id":11800,"project_id":322,"sender":"ai","message":"I'm sorry, but I'm not sure I understand what you're asking. If you wish to display your sprite named 'jim' on the screen, you should be able to do that with the `` tag you've already included in your HTML:\n\n```html\n

\n```\n\nYou might want to include this tag inside your `` tag if it isn't already, like so:\n\n```html\n\n \n

\n \n\n```\n\nHere is how this works:\n\n- The `` tag is used to insert an image into the HTML document.\n- The `src` attribute tells the browser where to find the image. In this case, `@asset('jim')` will return the correct filepath for the image named 'jim'.\n- The `id` attribute assigns an id to the image so that it can be targeted with CSS or JavaScript. Here, the id is 'jimSprite'. \n\nIf you want to control when 'jim' appears, you would need to use JavaScript to change the `display` property of the `jimSprite` element. For instance, you could make 'jim' appear when a button is clicked. Would you like to learn how to do this?","created_at":"2024-01-10T18:51:20.551089Z","output_tokens":null},{"deleted":0,"code_id":18755,"input_tokens":null,"id":11801,"project_id":322,"sender":"human","message":"make a function to draw him","created_at":"2024-01-10T18:52:22.053943Z","output_tokens":null},{"deleted":0,"code_id":18755,"input_tokens":null,"id":11802,"project_id":322,"sender":"ai","message":"To \"draw\" or display your sprite named 'jim' on the page, you can create a function in JavaScript that changes the CSS `display` property of the image from `\"none\"` to `\"block\"`. Here's an example:\n\n```javascript\nfunction drawJim() {\n var jimSprite = document.getElementById(\"jimSprite\");\n jimSprite.style.display = \"block\";\n}\n```\n\nHere is how this function works:\n\n- The `document.getElementById(\"jimSprite\")` line gets the HTML element with the id \"jimSprite\".\n- The `.style.display = \"block\"` line changes the `display` property of the 'jimSprite' element to \"block\". This means that the image will be displayed as a block-level element (taking up the full width of its parent element, and causing a line break before and after itself), as opposed to \"none\", which would hide the image.\n\nYou can call this function whenever you want to display 'jim'. For example, you could call `drawJim()` inside the `window.onload` function to display 'jim' when the page loads. Note that for this to work, the 'jim' image must initially be hidden, which you can do by setting `display: none;` in your CSS for the 'jimSprite' id.\n\nRemember, this assumes that you have an image with the id \"jimSprite\" set up in your HTML. If your image has a different id, you should replace \"jimSprite\" with the correct id in the JavaScript code.","created_at":"2024-01-10T18:52:22.060045Z","output_tokens":null},{"deleted":0,"code_id":19068,"input_tokens":null,"id":11997,"project_id":322,"sender":"human","message":"when i ask the api what bread do you want he says banana bread and rainbow banana bread","created_at":"2024-01-11T15:24:20.872492Z","output_tokens":null},{"deleted":0,"code_id":19068,"input_tokens":null,"id":11998,"project_id":322,"sender":"ai","message":"It seems like you want Jippity Junior to respond with \"banana bread\" or \"rainbow banana bread\" when asked about the type of bread it prefers. This involves conditioning the AI's responses, which can be achieved by modifying the `callGpt3Api` function to include a check for this specific question and return the desired response.\n\nHere's how you can implement this:\n\n```javascript\nfunction callGpt3Api(textInput) {\n // Check if the user asked about bread preference\n if (textInput.toLowerCase().includes(\"what bread do you want\")) {\n // Choose a random response\n const responses = [\"banana bread\", \"rainbow banana bread\"];\n const response = responses[Math.floor(Math.random() * responses.length)];\n // Return a Promise that resolves with the response\n return Promise.resolve(`I'd like some ${response}, please.`);\n }\n\n // Existing GPT-3 API call\n // ...\n}\n```\n\nThis is how this code works:\n\n- The first `if` statement checks if the user's input includes the phrase \"what bread do you want\". The `toLowerCase()` function is used to make the check case-insensitive.\n- If the user asked about bread preference, the function prepares to return either \"banana bread\" or \"rainbow banana bread\". It chooses one at random using similar logic to before (with `Math.random()` and `Math.floor()`).\n- `Promise.resolve()` is used to create a Promise that immediately resolves with the prepared response. This is necessary because the existing `callGpt3Api` function is expected to return a Promise.\n- If the user's input didn't ask about bread preference, the function proceeds to the existing GPT-3 API call (represented by `// ...` in the code snippet above).\n\nThis change will make Jippity Junior respond with \"I'd like some banana bread, please.\" or \"I'd like some rainbow banana bread, please.\" when asked \"what bread do you want\".","created_at":"2024-01-11T15:24:20.877978Z","output_tokens":null},{"deleted":0,"code_id":28192,"input_tokens":null,"id":16863,"project_id":322,"sender":"human","message":"ERROR: Uncaught ReferenceError: endpoint is not defined at 25:18 in script.js","created_at":"2024-01-23T15:11:23.500555Z","output_tokens":null},{"deleted":0,"code_id":28192,"input_tokens":null,"id":16864,"project_id":322,"sender":"ai","message":"I see, it seems like there is a reference error: `endpoint` is not defined. The `endpoint` is the URL where the request is sent. In the context of this code, it should be the URL of the GPT-3 API. \n\nLet's correct this by defining the endpoint URL as follows:\n\n```javascript\nconst API_ENDPOINT = \"https://api.openai.com/v1/engines/davinci-codex/completions\";\n```\n\nNext, we will update the `callGpt3Api` function to use `API_ENDPOINT` instead of `endpoint`:\n\n```javascript\nfunction callGpt3Api(textInput) {\n // Check if the user asked about bread preference\n if (textInput.toLowerCase().includes(\"what bread do you want\")) {\n // Choose a random response\n const responses = [\"banana bread\", \"rainbow banana bread\"];\n const response = responses[Math.floor(Math.random() * responses.length)];\n // Return a Promise that resolves with the response\n return Promise.resolve(`I'd like some ${response}, please.`);\n }\n\n const data = {\n \"prompt\": textInput,\n \"max_tokens\": 60\n }\n\n return fetch(API_ENDPOINT, {\n method: \"POST\",\n headers: {\n 'Authorization': `Bearer ${API_KEY}`,\n 'Content-Type': 'application/json'\n },\n body: JSON.stringify(data)\n })\n .then(response => response.json())\n .then(data => data['choices'][0]['message']['content']);\n}\n```\n\nHere's what the new code does:\n\n- The `API_ENDPOINT` constant is declared to hold the URL of the OpenAI GPT-3 API endpoint.\n- The `callGpt3Api` function is modified to use `API_ENDPOINT` instead of `endpoint`.\n- The `fetch` method sends a POST request to the `API_ENDPOINT` with the necessary headers and body. The body contains the `prompt` and `max_tokens` parameters required by the GPT-3 API, which are stringified into JSON format.\n- The function then parses the JSON response from the API and retrieves the generated text from the response data.\n\nNote: Please replace `\"https://api.openai.com/v1/engines/davinci-codex/completions\"` with the actual endpoint URL of the API you are using.","created_at":"2024-01-23T15:11:23.507073Z","output_tokens":null},{"deleted":0,"code_id":28195,"input_tokens":null,"id":16865,"project_id":322,"sender":"human","message":"ERROR: API Error:,TypeError: Cannot read properties of undefined (reading '0')","created_at":"2024-01-23T15:12:32.600195Z","output_tokens":null},{"deleted":0,"code_id":28195,"input_tokens":null,"id":16866,"project_id":322,"sender":"ai","message":"The error message indicates that the program is trying to access a property of an undefined object. In the context of your code, it seems to be happening when you're trying to access the response from the GPT-3 API.\n\nThis section of your code is likely causing the error:\n\n```javascript\n.then(data => data['choices'][0]['message']['content'])\n```\n\nThis line of code assumes that the `data` object has a property `choices`, which is an array with at least one element, and that element is an object with a property `message`, which in turn is an object with a property `content`. If any of these assumptions are not met, you will get the TypeError you're seeing.\n\nTo fix this, you should add some error checking to make sure all these properties exist before trying to access them. Here's how to do it:\n\n```javascript\nfunction callGpt3Api(textInput) {\n // Your existing code...\n\n return fetch(API_ENDPOINT, {\n // Your existing code...\n })\n .then(response => response.json())\n .then(data => {\n if (data && data['choices'] && data['choices'][0] && data['choices'][0]['message'] && data['choices'][0]['message']['content']) {\n return data['choices'][0]['message']['content'];\n } else {\n throw new Error('Unexpected API response');\n }\n });\n}\n```\n\nThis version of the function will throw an error if the API response does not have the expected structure. This will help you catch and handle unexpected API responses.\n\nNote: If you're still seeing the same error after making this change, it's possible that the API is returning an error response. You can log the entire API response to the console to help debug this issue:\n\n```javascript\n.then(response => {\n console.log(response);\n return response.json();\n})\n```","created_at":"2024-01-23T15:12:32.607632Z","output_tokens":null},{"deleted":0,"code_id":28199,"input_tokens":null,"id":16867,"project_id":322,"sender":"human","message":"write how my code should look now","created_at":"2024-01-23T15:14:27.929315Z","output_tokens":null},{"deleted":0,"code_id":28199,"input_tokens":null,"id":16868,"project_id":322,"sender":"ai","message":"Based on your previous code and our discussed changes, your updated code should look like the following:\n\nHTML:\n\n```html\n\n\n\n\n \n \n Jippity Junior: AI Chatbot Extraordinaire\n \n\n\n\n

\n \n \n

Settings Menu

Some settings...

\n \n\n\n\n```\n\nJavaScript:\n\n```javascript\nwindow.onload = function () {\n var greetingContainer = document.getElementById(\"greetingContainer\");\n greetingContainer.innerHTML = \"Hello! I'm Jippity Junior. How may I assist you today?\";\n};\n\nconst API_KEY = \"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\";\nconst API_ENDPOINT = \"https://api.openai.com/v1/engines/davinci-codex/completions\";\n\nfunction drawJim() {\n var jimSprite = document.getElementById(\"jimSprite\");\n jimSprite.style.display = \"block\";\n}\n\nfunction callGpt3Api(textInput) {\n // Check if the user asked about bread preference\n if (textInput.toLowerCase().includes(\"what bread do you want\")) {\n // Choose a random response\n const responses = [\"banana bread\", \"rainbow banana bread\"];\n const response = responses[Math.floor(Math.random() * responses.length)];\n // Return a Promise that resolves with the response\n return Promise.resolve(`I'd like some ${response}, please.`);\n }\n\n const data = {\n \"prompt\": textInput,\n \"max_tokens\": 60\n }\n\n return fetch(API_ENDPOINT, {\n method: \"POST\",\n headers: {\n 'Authorization': `Bearer ${API_KEY}`,\n 'Content-Type': 'application/json'\n },\n body: JSON.stringify(data)\n })\n .then(response => response.json())\n .then(data => {\n if (data && data['choices'] && data['choices'][0] && data['choices'][0]['message'] && data['choices'][0]['message']['content']) {\n return data['choices'][0]['message']['content'];\n } else {\n throw new Error('Unexpected API response');\n }\n });\n}\n\nvar userInputField = document.getElementById(\"userInput\");\nvar sendButton = document.getElementById(\"sendButton\");\nvar conversationContainer = document.getElementById(\"conversationContainer\");\n\nsendButton.addEventListener(\"click\", function () {\n var userInput = userInputField.value;\n\n if (userInput) {\n var userMessageElement = document.createElement(\"p\");\n userMessageElement.textContent = `You: ${userInput}`;\n conversationContainer.appendChild(userMessageElement);\n\n callGpt3Api(userInput)\n .then(response => {\n var aiMessage = response;\n var aiMessageElement = document.createElement(\"p\");\n aiMessageElement.textContent = `Jippity Junior: ${aiMessage}`;\n conversationContainer.appendChild(aiMessageElement);\n speakText(aiMessage);\n })\n .catch(error => console.error(\"API Error:\", error));\n\n userInputField.value = \"\";\n }\n});\n\nfunction speakText(text) {\n var utterance = new SpeechSynthesisUtterance(text);\n var voices = window.speechSynthesis.getVoices();\n if (voices.length > 1) utterance.voice = voices[1];\n window.speechSynthesis.speak(utterance);\n}\n\ndocument.addEventListener('keydown', handleKeyPress);\n\nfunction handleKeyPress(e) {\n var settingsMenu = document.getElementById('settingsMenu');\n\n if (e.key == 'e') {\n settingsMenu.style.display = 'block';\n } else if (e.key == 'Escape') {\n settingsMenu.style.display = 'none';\n }\n}\n```\n\nCSS:\n\n```css\nbody {\n font-family: Arial, sans-serif;\n background-color: green;\n}\n\n#greetingContainer {\n margin-bottom: 20px;\n}\n\n#userInput {\n width: 300px;\n height: 30px;\n padding: 5px;\n font-size: 16px;\n}\n\n#sendButton {\n height: 40px;\n margin-left: 10px;\n font-size: 16px;\n}\n\n#conversationContainer p {\n background-color: lightgreen;\n padding: 10px;\n margin: 10px 0;\n border-radius: 5px;\n}\n```\n\nPlease note:\n\n1. In the HTML file, `style=\"display: none;\"` has been added to the 'jim' image tag to initially hide the image.\n2. In the JavaScript file, error checking has been added to the `callGpt3Api` function to prevent errors when trying to access the response from the API. This is the main change from the previous version of your code.","created_at":"2024-01-23T15:14:27.936032Z","output_tokens":null},{"deleted":0,"code_id":28203,"input_tokens":null,"id":16869,"project_id":322,"sender":"human","message":"ERROR: API Error:,Error: Unexpected API response","created_at":"2024-01-23T15:16:45.647609Z","output_tokens":null},{"deleted":0,"code_id":28203,"input_tokens":null,"id":16870,"project_id":322,"sender":"ai","message":"The error \"Unexpected API response\" is an error message that we defined in the `callGpt3Api` function to be thrown when the response from the API doesn't have the expected format. This can happen for several reasons, including network problems, server errors or issues with the request we're sending.\n\nTo investigate further, it can be useful to log the entire response from the API before we try to access the `choices` property. This can give us more information about what's going wrong.\n\nHere's how you can modify the `callGpt3Api` function to log the response:\n\n```javascript\nfunction callGpt3Api(textInput) {\n // Check if the user asked about bread preference\n if (textInput.toLowerCase().includes(\"what bread do you want\")) {\n // Choose a random response\n const responses = [\"banana bread\", \"rainbow banana bread\"];\n const response = responses[Math.floor(Math.random() * responses.length)];\n // Return a Promise that resolves with the response\n return Promise.resolve(`I'd like some ${response}, please.`);\n }\n\n const data = {\n \"prompt\": textInput,\n \"max_tokens\": 60\n }\n\n return fetch(API_ENDPOINT, {\n method: \"POST\",\n headers: {\n 'Authorization': `Bearer ${API_KEY}`,\n 'Content-Type': 'application/json'\n },\n body: JSON.stringify(data)\n })\n .then(response => response.json())\n .then(data => {\n console.log(\"API response:\", data); // Log the entire API response\n if (data && data['choices'] && data['choices'][0] && data['choices'][0]['message'] && data['choices'][0]['message']['content']) {\n return data['choices'][0]['message']['content'];\n } else {\n throw new Error('Unexpected API response');\n }\n });\n}\n```\n\nThis version of the function logs the entire response from the API to the console before checking its properties and returning the content. If you run this code and check the console, it should provide more information about the API responses that are causing the error.","created_at":"2024-01-23T15:16:45.654096Z","output_tokens":null}],"assets":[{"cloudinary_id":"g6eubfb6pvtcvsqt663t","project_id":322,"created_at":"2024-01-10T18:49:22.055874Z","deleted":false,"name":"jim","resource_type":"image","id":483},{"cloudinary_id":"wobgbgd5epbytjutp02g","project_id":322,"created_at":"2024-01-10T16:04:04.403057Z","deleted":false,"name":"setin","resource_type":"image","id":479}],"messages_sent":9,"comments":[],"steps":[]}