We all Jiankui

[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_153":154,"_155":156},"routes/_app.x.$handle.$name",{"_95":94,"_32":45,"_103":85,"_27":104,"_13":14,"_105":-5,"_11":106,"_107":108,"_109":110,"_111":112,"_113":114,"_20":-5,"_115":-5,"_116":-5,"_117":25,"_118":119,"_120":49,"_121":-5,"_122":-5,"_123":124},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":49,"_50":51,"_52":51,"_53":-5,"_54":-5,"_18":55,"_56":31,"_57":49,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":25},"version",7,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.tsx","latestPath","fileId","6161ace8-2793-11f0-9d52-569c3dd06744","name","fileType","http","content","import { Hono } from \"https://deno.land/x/hono@v3.11.7/mod.ts\";\nimport \"jsr:@std/dotenv/load\"; // needed for deno run; not req for smallweb or valtown\n\n\nconst app = new Hono();\n\n\n\nimport { GoogleGenerativeAI } from \"npm:@google/generative-ai\";\nimport \"jsr:@std/dotenv/load\"; // needed for deno run; not req for smallweb or valtown\nimport { encode as base64Encode } from \"https://deno.land/std@0.177.0/encoding/base64.ts\";\n\n// Function to fetch and encode an external image\nasync function fetchAndEncodeImage(url) {\n try {\n const response = await fetch(url);\n if (!response.ok) {\n throw new Error(`Failed to fetch image: ${response.status} ${response.statusText}`);\n }\n const arrayBuffer = await response.arrayBuffer();\n const uint8Array = new Uint8Array(arrayBuffer);\n return base64Encode(uint8Array);\n } catch (error) {\n console.error(\"Error fetching external image:\", error);\n throw error;\n }\n}\n\nexport const imageEditHandler = async (c) => {\n try {\n const formData = await c.req.formData();\n const imageFile = formData.get(\"image\");\n const userPrompt = formData.get(\"prompt\") || \"swap my face with the scientist\";\n\n if (!imageFile) {\n return c.json({ error: \"No image provided\" }, 400);\n }\n\n // Get API key from environment variable\n const apiKey = Deno.env.get(\"GOOGLE_API_KEY\");\n if (!apiKey) {\n return c.json({ error: \"API key not configured\" }, 500);\n }\n\n // Convert the uploaded file to base64\n const arrayBuffer = await imageFile.arrayBuffer();\n const uint8Array = new Uint8Array(arrayBuffer);\n const userImageBase64 = base64Encode(uint8Array);\n\n // Fetch and encode the scientist image\n const scientistImageUrl = \"https://pbs.twimg.com/media/GdMjZhubYAAM1Yf?format=jpg&name=4096x4096\";\n const scientistImageBase64 = await fetchAndEncodeImage(scientistImageUrl);\n\n console.log(\"Processing images with Gemini 2.0 Flash Experimental...\");\n console.log(\"User image type:\", imageFile.type);\n\n // Initialize the Google Generative AI\n const genAI = new GoogleGenerativeAI(apiKey);\n\n // Use the Gemini 2.0 Flash Experimental model with image generation capability\n const model = genAI.getGenerativeModel({\n model: \"gemini-2.0-flash-exp-image-generation\",\n generationConfig: {\n temperature: 1,\n responseModalities: [\"Text\", \"Image\"]\n }\n });\n\n // Create a very specific prompt for face swapping\n const faceSwapPrompt = `\n I need to create a face swap where the user's face is placed onto the scientist's body.\n \n Image 1: The SOURCE face (source face)\n Image 2: The scientist in the lab photo (target body)\n \n IMPORTANT INSTRUCTIONS:\n - REPLACE the scientist's face with the SOURCE face EXACTLY as it appears in Image 2\n - DO NOT change the user's face or make up another face\n - KEEP the scientist's exact pose, lab coat, and entire lab setting unchanged\n - PLACE the user's head PRECISELY where the scientist's head is\n - Make sure the lighting on the face matches the lab environment lighting\n - Ensure the head is realistically connected to the neck area\n - The head must be correctly sized and proportioned to look natural on the body\n - The final result should look like the user is actually in the lab photo\n - Place the user's face in the center of the lab photo, on top of the scientist!!\n \n This is for ${userPrompt}\n `;\n\n try {\n console.log(\"Sending request to Gemini API...\");\n\n // First approach: Try with the scientist image first, then the user image\n const contents = [\n faceSwapPrompt,\n {\n inlineData: {\n data: userImageBase64,\n mimeType: imageFile.type\n }\n },\n {\n inlineData: {\n data: scientistImageBase64,\n mimeType: \"image/jpeg\"\n }\n },\n ];\n\n const result = await model.generateContent(contents);\n console.log(\"Response received from Gemini API\");\n\n const response = result.response;\n\n // Process the response\n if (response && response.candidates &&\n response.candidates[0] &&\n response.candidates[0].content &&\n response.candidates[0].content.parts) {\n\n const parts = response.candidates[0].content.parts;\n let textResponse = \"\";\n let imageData = null;\n\n // Extract text and image data from parts\n for (const part of parts) {\n if (part.text) {\n textResponse += part.text;\n } else if (part.inlineData && part.inlineData.data) {\n imageData = part.inlineData.data;\n }\n }\n\n // Return both text and image if available\n if (imageData) {\n return c.json({\n text: textResponse || \"Face swap completed successfully!\",\n images: [{ data: imageData }]\n });\n } else {\n throw new Error(\"No image was generated\");\n }\n } else {\n throw new Error(\"Invalid response structure\");\n }\n } catch (error) {\n console.error(\"Image processing error:\", error);\n\n // Fall back to text response\n try {\n const textModel = genAI.getGenerativeModel({\n model: \"gemini-pro-vision\",\n generationConfig: {\n temperature: 1\n }\n });\n\n const textContents = [\n \"I was trying to swap this person's face onto a scientist image but it failed. Can you describe what this person looks like?\",\n {\n inlineData: {\n data: userImageBase64,\n mimeType: imageFile.type\n }\n }\n ];\n\n const textResult = await textModel.generateContent(textContents);\n const textResponse = textResult.response.text();\n\n return c.json({\n text: \"I couldn't generate the face swap image. \" + textResponse,\n note: \"Please try again with a different image that has a clear face.\",\n images: []\n });\n } catch (textError) {\n console.error(\"Text fallback error:\", textError);\n return c.json({\n error: \"Failed to process image and generate face swap\"\n }, 500);\n }\n }\n } catch (error) {\n console.error(\"Image editing error:\", error);\n return c.json({\n error: error.message || \"Error processing image\"\n }, 500);\n }\n};\n\nexport const getTailwindConfig = () => ({\n theme: {\n extend: {\n colors: {\n 'background': '#F5F4F4',\n 'page-bg': '#F5F4F4',\n 'app-bg': '#FDFBF7',\n 'app-bg-alt': '#FFFFFF',\n 'app-accent': '#E2DFDF',\n 'primary': '#0E141B',\n 'accent': '#FDFAF4',\n 'secondary': '#D9D5D4',\n 'text': '#100C04',\n 'button': '#39516A',\n 'button-hover': '#0063CC',\n }\n }\n }\n});\n\nexport const getStyles = () => `\n @tailwind base;\n @tailwind components;\n @tailwind utilities;\n\n html {\n @apply bg-background;\n }\n .AppBody {\n @apply bg-page-bg text-text py-4;\n }\n .AppContainer {\n @apply container mx-auto;\n }\n .App {\n @apply max-w-2xl mx-2 md:mx-auto p-4 bg-app-bg border border-app-accent rounded-md shadow-sm;\n }\n .AppFooter {\n @apply mt-4 text-center text-sm;\n }\n .AppFooter a {\n @apply text-primary hover:text-button-hover underline;\n }\n h1 {\n @apply text-3xl font-semibold mb-4 text-primary;\n }\n textarea {\n @apply w-full mb-2 py-2 px-4 bg-app-bg-alt border border-app-accent rounded-md focus:outline-none focus:ring-1 focus:ring-secondary;\n }\n summary {\n @apply cursor-pointer hover:text-button-hover;\n }\n button {\n @apply bg-button text-white px-4 py-2 rounded hover:bg-button-hover transition-colors;\n }\n button.accordion {\n @apply bg-app-bg text-primary px-0 py-2 rounded-md transition-colors hover:text-button-hover;\n }\n .JsonOutput {\n @apply mt-4 relative;\n }\n .JsonOutput pre {\n @apply p-4 bg-app-bg-alt border border-app-accent rounded-md text-sm overflow-x-auto whitespace-pre-wrap;\n }\n .JsonOutput button {\n @apply absolute top-2 right-2 text-xs bg-button text-white px-2 py-1 rounded-md hover:bg-button-hover transition duration-300;\n }\n .TextOutput {\n @apply mt-4;\n }\n .TextOutput-content {\n @apply p-4 bg-app-bg-alt border border-primary rounded-md;\n }\n .TextOutput-header {\n @apply mb-2 text-xs text-gray-600 flex justify-between items-center;\n }\n .TextOutput button {\n @apply text-xs bg-button text-white px-2 py-1 rounded-md hover:bg-button-hover transition duration-300;\n }\n .history-item {\n @apply flex flex-row justify-between items-center p-2 bg-accent hover:bg-app-bg-alt border border-app-accent rounded-md cursor-pointer hover:bg-app-bg-alt transition-colors;\n }\n .delete-button {\n @apply self-end bg-button text-white px-2 py-1 rounded text-sm hover:bg-button-hover transition-colors;\n }\n`;\n\n\n// Alpine data and methods\nconst getAlpineModule = () => `\n document.addEventListener('alpine:init', () => {\n Alpine.data('imageEditorApp', () => ({\n // Image editing properties\n selectedImage: null,\n imagePreview: null,\n editedImage: null,\n textResponse: '',\n prompt: 'swap my face with the scientist',\n isProcessing: false,\n errorMessage: '',\n \n init() {\n // Auto-open first accordion and rotate its icon\n this.$nextTick(() => {\n this.toggleAccordion('accordion-1');\n });\n },\n\n handleImageSelect(event) {\n const file = event.target.files[0];\n if (!file) return;\n \n this.selectedImage = file;\n this.editedImage = null;\n this.textResponse = '';\n this.errorMessage = '';\n \n // Create preview\n const reader = new FileReader();\n reader.onload = (e) => {\n this.imagePreview = e.target.result;\n };\n reader.readAsDataURL(file);\n },\n \n async editImage() {\n if (!this.selectedImage) {\n this.errorMessage = 'Please select an image first';\n return;\n }\n \n this.isProcessing = true;\n this.errorMessage = '';\n this.editedImage = null;\n this.textResponse = '';\n \n try {\n const formData = new FormData();\n formData.append('image', this.selectedImage);\n formData.append('prompt', this.prompt);\n \n const response = await fetch('/edit-image', {\n method: 'POST',\n body: formData\n });\n \n const result = await response.json();\n \n if (result.error) {\n this.errorMessage = result.error;\n } else {\n // Handle text response\n if (result.text) {\n this.textResponse = result.text;\n }\n \n // Handle image response\n if (result.images && result.images.length > 0 && result.images[0].data) {\n this.editedImage = 'data:image/png;base64,' + result.images[0].data;\n }\n }\n } catch (error) {\n this.errorMessage = 'Error: ' + error.message;\n } finally {\n this.isProcessing = false;\n }\n },\n\n async copyToClipboard(text, button) {\n try {\n await navigator.clipboard.writeText(text);\n const originalText = button.textContent;\n button.textContent = 'Copied!';\n setTimeout(() => {\n button.textContent = originalText;\n }, 2000);\n } catch (err) {\n console.error('Failed to copy text: ', err);\n }\n },\n\n toggleAccordion(buttonId) {\n const content = document.getElementById('accordion-content-' + buttonId.split('-')[1]);\n const isOpen = content.classList.contains('grid-rows-[1fr]');\n \n content.classList.toggle('grid-rows-[0fr]', isOpen);\n content.classList.toggle('grid-rows-[1fr]', !isOpen);\n content.classList.toggle('opacity-0', isOpen);\n content.classList.toggle('opacity-100', !isOpen);\n\n // Toggle plus/minus icon\n const rects = document.getElementById(buttonId).querySelectorAll('rect');\n rects[1].classList.toggle('!rotate-180', !isOpen);\n }\n }));\n });\n`;\n\nconst getHtml = (moduleScript) => `\n\n\n\n \n \n \n We all Jiankui\n \n \n \n \n \n \n \n \n \n \n \n \n\n\n

You CRISPR,
I CRISPR,
We all CRISPR...

Ever want to be a scientist? With the help of CRISPR and modern AI, you too can become a powerful CRISPR scientist!

\n\n

\n \n

\n \n \n Click to browse or drop image here\n \n

\n \n \n

Your Image

\n $\"Your$ \n

\n \n \n

\n \n

\n \n \n

\n If it doesn't look good, just re-CRISPR!\n

\n \n

\n $\"Edited$ \n

\n \n

\n\n \n\n\n`;\n\napp.get(\"/\", (c) => c.html(getHtml()));\napp.post(\"/edit-image\", imageEditHandler);\n\nexport default (typeof Deno !== \"undefined\" && Deno.env.get(\"valtown\")) ? app.fetch : app;\n\n\n\n\n\n\n","import { Hono } from \"https://deno.land/x/hono@v3.11.7/mod.ts\";\nimport \"jsr:@std/dotenv/load\"; // needed for deno run; not req for smallweb or valtown\n\n\nconst app = new Hono();\n\n\n\nimport { GoogleGenerativeAI } from \"npm:@google/generative-ai\";\nimport \"jsr:@std/dotenv/load\"; // needed for deno run; not req for smallweb or valtown\nimport { encode as base64Encode } from \"https://deno.land/std@0.177.0/encoding/base64.ts\";\n\n// Function to fetch and encode an external image\nasync function fetchAndEncodeImage(url) {\n try {\n const response = await fetch(url);\n if (!response.ok) {\n throw new Error(`Failed to fetch image: ${response.status} ${response.statusText}`);\n }\n const arrayBuffer = await response.arrayBuffer();\n const uint8Array = new Uint8Array(arrayBuffer);\n return base64Encode(uint8Array);\n } catch (error) {\n console.error(\"Error fetching external image:\", error);\n throw error;\n }\n}\n\nexport const imageEditHandler = async (c) => {\n try {\n const formData = await c.req.formData();\n const imageFile = formData.get(\"image\");\n const userPrompt = formData.get(\"prompt\") || \"swap my face with the scientist\";\n\n if (!imageFile) {\n return c.json({ error: \"No image provided\" }, 400);\n }\n\n // Get API key from environment variable\n const apiKey = Deno.env.get(\"GOOGLE_API_KEY\");\n if (!apiKey) {\n return c.json({ error: \"API key not configured\" }, 500);\n }\n\n // Convert the uploaded file to base64\n const arrayBuffer = await imageFile.arrayBuffer();\n const uint8Array = new Uint8Array(arrayBuffer);\n const userImageBase64 = base64Encode(uint8Array);\n\n // Fetch and encode the scientist image\n const scientistImageUrl = \"https://pbs.twimg.com/media/GdMjZhubYAAM1Yf?format=jpg&name=4096x4096\";\n const scientistImageBase64 = await fetchAndEncodeImage(scientistImageUrl);\n\n console.log(\"Processing images with Gemini 2.0 Flash Experimental...\");\n console.log(\"User image type:\", imageFile.type);\n\n // Initialize the Google Generative AI\n const genAI = new GoogleGenerativeAI(apiKey);\n\n // Use the Gemini 2.0 Flash Experimental model with image generation capability\n const model = genAI.getGenerativeModel({\n model: \"gemini-2.0-flash-exp-image-generation\",\n generationConfig: {\n temperature: 1,\n responseModalities: [\"Text\", \"Image\"]\n }\n });\n\n // Create a very specific prompt for face swapping\n const faceSwapPrompt = `\n I need to create a face swap where the user's face is placed onto the scientist's body.\n \n Image 1: The SOURCE face (source face)\n Image 2: The scientist in the lab photo (target body)\n \n IMPORTANT INSTRUCTIONS:\n - REPLACE the scientist's face with the SOURCE face EXACTLY as it appears in Image 2\n - DO NOT change the user's face or make up another face\n - KEEP the scientist's exact pose, lab coat, and entire lab setting unchanged\n - PLACE the user's head PRECISELY where the scientist's head is\n - Make sure the lighting on the face matches the lab environment lighting\n - Ensure the head is realistically connected to the neck area\n - The head must be correctly sized and proportioned to look natural on the body\n - The final result should look like the user is actually in the lab photo\n - Place the user's face in the center of the lab photo, on top of the scientist!!\n \n This is for ${userPrompt}\n `;\n\n try {\n console.log(\"Sending request to Gemini API...\");\n\n // First approach: Try with the scientist image first, then the user image\n const contents = [\n faceSwapPrompt,\n {\n inlineData: {\n data: userImageBase64,\n mimeType: imageFile.type\n }\n },\n {\n inlineData: {\n data: scientistImageBase64,\n mimeType: \"image/jpeg\"\n }\n },\n ];\n\n const result = await model.generateContent(contents);\n console.log(\"Response received from Gemini API\");\n\n const response = result.response;\n\n // Process the response\n if (response && response.candidates &&\n response.candidates[0] &&\n response.candidates[0].content &&\n response.candidates[0].content.parts) {\n\n const parts = response.candidates[0].content.parts;\n let textResponse = \"\";\n let imageData = null;\n\n // Extract text and image data from parts\n for (const part of parts) {\n if (part.text) {\n textResponse += part.text;\n } else if (part.inlineData && part.inlineData.data) {\n imageData = part.inlineData.data;\n }\n }\n\n // Return both text and image if available\n if (imageData) {\n return c.json({\n text: textResponse || \"Face swap completed successfully!\",\n images: [{ data: imageData }]\n });\n } else {\n throw new Error(\"No image was generated\");\n }\n } else {\n throw new Error(\"Invalid response structure\");\n }\n } catch (error) {\n console.error(\"Image processing error:\", error);\n\n // Fall back to text response\n try {\n const textModel = genAI.getGenerativeModel({\n model: \"gemini-pro-vision\",\n generationConfig: {\n temperature: 1\n }\n });\n\n const textContents = [\n \"I was trying to swap this person's face onto a scientist image but it failed. Can you describe what this person looks like?\",\n {\n inlineData: {\n data: userImageBase64,\n mimeType: imageFile.type\n }\n }\n ];\n\n const textResult = await textModel.generateContent(textContents);\n const textResponse = textResult.response.text();\n\n return c.json({\n text: \"I couldn't generate the face swap image. \" + textResponse,\n note: \"Please try again with a different image that has a clear face.\",\n images: []\n });\n } catch (textError) {\n console.error(\"Text fallback error:\", textError);\n return c.json({\n error: \"Failed to process image and generate face swap\"\n }, 500);\n }\n }\n } catch (error) {\n console.error(\"Image editing error:\", error);\n return c.json({\n error: error.message || \"Error processing image\"\n }, 500);\n }\n};\n\nexport const getTailwindConfig = () => ({\n theme: {\n extend: {\n colors: {\n 'background': '#F5F4F4',\n 'page-bg': '#F5F4F4',\n 'app-bg': '#FDFBF7',\n 'app-bg-alt': '#FFFFFF',\n 'app-accent': '#E2DFDF',\n 'primary': '#0E141B',\n 'accent': '#FDFAF4',\n 'secondary': '#D9D5D4',\n 'text': '#100C04',\n 'button': '#39516A',\n 'button-hover': '#0063CC',\n }\n }\n }\n});\n\nexport const getStyles = () => `\n @tailwind base;\n @tailwind components;\n @tailwind utilities;\n\n html {\n @apply bg-background;\n }\n .AppBody {\n @apply bg-page-bg text-text py-4;\n }\n .AppContainer {\n @apply container mx-auto;\n }\n .App {\n @apply max-w-2xl mx-2 md:mx-auto p-4 bg-app-bg border border-app-accent rounded-md shadow-sm;\n }\n .AppFooter {\n @apply mt-4 text-center text-sm;\n }\n .AppFooter a {\n @apply text-primary hover:text-button-hover underline;\n }\n h1 {\n @apply text-3xl font-semibold mb-4 text-primary;\n }\n textarea {\n @apply w-full mb-2 py-2 px-4 bg-app-bg-alt border border-app-accent rounded-md focus:outline-none focus:ring-1 focus:ring-secondary;\n }\n summary {\n @apply cursor-pointer hover:text-button-hover;\n }\n button {\n @apply bg-button text-white px-4 py-2 rounded hover:bg-button-hover transition-colors;\n }\n button.accordion {\n @apply bg-app-bg text-primary px-0 py-2 rounded-md transition-colors hover:text-button-hover;\n }\n .JsonOutput {\n @apply mt-4 relative;\n }\n .JsonOutput pre {\n @apply p-4 bg-app-bg-alt border border-app-accent rounded-md text-sm overflow-x-auto whitespace-pre-wrap;\n }\n .JsonOutput button {\n @apply absolute top-2 right-2 text-xs bg-button text-white px-2 py-1 rounded-md hover:bg-button-hover transition duration-300;\n }\n .TextOutput {\n @apply mt-4;\n }\n .TextOutput-content {\n @apply p-4 bg-app-bg-alt border border-primary rounded-md;\n }\n .TextOutput-header {\n @apply mb-2 text-xs text-gray-600 flex justify-between items-center;\n }\n .TextOutput button {\n @apply text-xs bg-button text-white px-2 py-1 rounded-md hover:bg-button-hover transition duration-300;\n }\n .history-item {\n @apply flex flex-row justify-between items-center p-2 bg-accent hover:bg-app-bg-alt border border-app-accent rounded-md cursor-pointer hover:bg-app-bg-alt transition-colors;\n }\n .delete-button {\n @apply self-end bg-button text-white px-2 py-1 rounded text-sm hover:bg-button-hover transition-colors;\n }\n`;\n\n\n// Alpine data and methods\nconst getAlpineModule = () => `\n document.addEventListener('alpine:init', () => {\n Alpine.data('imageEditorApp', () => ({\n // Image editing properties\n selectedImage: null,\n imagePreview: null,\n editedImage: null,\n textResponse: '',\n prompt: 'swap my face with the scientist',\n isProcessing: false,\n errorMessage: '',\n \n init() {\n // Auto-open first accordion and rotate its icon\n this.$nextTick(() => {\n this.toggleAccordion('accordion-1');\n });\n },\n\n handleImageSelect(event) {\n const file = event.target.files[0];\n if (!file) return;\n \n this.selectedImage = file;\n this.editedImage = null;\n this.textResponse = '';\n this.errorMessage = '';\n \n // Create preview\n const reader = new FileReader();\n reader.onload = (e) => {\n this.imagePreview = e.target.result;\n };\n reader.readAsDataURL(file);\n },\n \n async editImage() {\n if (!this.selectedImage) {\n this.errorMessage = 'Please select an image first';\n return;\n }\n \n this.isProcessing = true;\n this.errorMessage = '';\n this.editedImage = null;\n this.textResponse = '';\n \n try {\n const formData = new FormData();\n formData.append('image', this.selectedImage);\n formData.append('prompt', this.prompt);\n \n const response = await fetch('/edit-image', {\n method: 'POST',\n body: formData\n });\n \n const result = await response.json();\n \n if (result.error) {\n this.errorMessage = result.error;\n } else {\n // Handle text response\n if (result.text) {\n this.textResponse = result.text;\n }\n \n // Handle image response\n if (result.images && result.images.length > 0 && result.images[0].data) {\n this.editedImage = 'data:image/png;base64,' + result.images[0].data;\n }\n }\n } catch (error) {\n this.errorMessage = 'Error: ' + error.message;\n } finally {\n this.isProcessing = false;\n }\n },\n\n async copyToClipboard(text, button) {\n try {\n await navigator.clipboard.writeText(text);\n const originalText = button.textContent;\n button.textContent = 'Copied!';\n setTimeout(() => {\n button.textContent = originalText;\n }, 2000);\n } catch (err) {\n console.error('Failed to copy text: ', err);\n }\n },\n\n toggleAccordion(buttonId) {\n const content = document.getElementById('accordion-content-' + buttonId.split('-')[1]);\n const isOpen = content.classList.contains('grid-rows-[1fr]');\n \n content.classList.toggle('grid-rows-[0fr]', isOpen);\n content.classList.toggle('grid-rows-[1fr]', !isOpen);\n content.classList.toggle('opacity-0', isOpen);\n content.classList.toggle('opacity-100', !isOpen);\n\n // Toggle plus/minus icon\n const rects = document.getElementById(buttonId).querySelectorAll('rect');\n rects[1].classList.toggle('!rotate-180', !isOpen);\n }\n }));\n });\n`;\n\nconst getHtml = (moduleScript) => `\n\n\n\n \n \n \n We all Jiankui\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n

You CRISPR,
I CRISPR,
We all CRISPR...

Ever want to be a scientist? With the help of CRISPR and modern AI, you too can become a powerful CRISPR scientist!

\n\n

\n \n

\n \n \n Click to browse or drop image here\n \n

\n \n \n

Your Image

\n $\"Your$ \n

\n \n \n

\n \n

\n \n \n

\n If it doesn't look good, just re-CRISPR!\n

\n \n

\n $\"Edited$ \n

\n \n

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You CRISPR, I CRISPR, We all CRISPR...

Your Image

You CRISPR, I CRISPR, We all CRISPR...

Your Image

You CRISPR,
I CRISPR,
We all CRISPR...

You CRISPR,
I CRISPR,
We all CRISPR...

Diff · v7