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  <!DOCTYPE html>
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- <html>
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  <head>
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  <meta charset="utf-8" />
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- <meta name="viewport" content="width=device-width" />
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- <title>My static Space</title>
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- <link rel="stylesheet" href="style.css" />
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  </head>
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- <body>
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- <div class="card">
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- <h1>Welcome to your static Space!</h1>
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- <p>
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- You can modify this app directly by editing <i>index.html</i> in the
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- Files and versions tab.
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- </p>
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- <p>
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- Also don't forget to check the
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- <a href="https://huggingface.co/docs/hub/spaces" target="_blank"
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- >Spaces documentation</a
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- >.
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- </p>
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- </div>
 
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  </body>
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  </html>
 
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+
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  <!DOCTYPE html>
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+ <html lang="en">
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  <head>
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  <meta charset="utf-8" />
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+ <meta
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+ name="viewport"
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+ content="width=device-width, initial-scale=1, shrink-to-fit=no, maximum-scale=1"
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+ />
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+
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+ <script>
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+ window.__gradio_mode__ = "app";
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+ window.gradio_config = {"version": "3.0.17", "mode": "blocks", "dev_mode": false, "components": [{"id": 1, "type": "column", "props": {"type": "column", "variant": "default", "visible": true, "style": {}}}, {"id": 2, "type": "markdown", "props": {"value": "<h1><center>DALL\u00b7E mini</center></h1>", "name": "markdown", "visible": true, "style": {}}}, {"id": 3, "type": "markdown", "props": {"value": "<center>AI model generating images from any prompt!</center>", "name": "markdown", "visible": true, "style": {}}}, {"id": 4, "type": "group", "props": {"type": "group", "visible": true, "style": {}}}, {"id": 5, "type": "box", "props": {"type": "box", "visible": true, "style": {}}}, {"id": 6, "type": "row", "props": {"type": "row", "visible": true, "style": {"equal_height": true, "mobile_collapse": false}}}, {"id": 7, "type": "textbox", "props": {"lines": 1, "max_lines": 1, "value": "", "label": "Enter your prompt", "show_label": false, "name": "textbox", "visible": true, "elem_id": "prompt", "style": {"container": false}}}, {"id": 8, "type": "button", "props": {"value": "Run", "variant": "primary", "name": "button", "visible": true, "style": {}}}, {"id": 9, "type": "gallery", "props": {"label": "Generated images", "show_label": false, "name": "gallery", "visible": true, "elem_id": "gallery", "style": {"grid": [3], "height": "auto"}}}, {"id": 10, "type": "column", "props": {"type": "column", "variant": "default", "visible": true, "style": {}}}, {"id": 11, "type": "button", "props": {"value": "Screenshot", "variant": "secondary", "name": "button", "visible": true, "elem_id": "screenshot", "style": {"full_width": true}}}, {"id": 12, "type": "markdown", "props": {"value": "<details>\n<summary>Bias and Limitations</summary>\n<p style='line-height: normal; font-size: small'>\nWhile the capabilities of image generation models are impressive, they may also reinforce or exacerbate societal biases. While the extent and nature of the biases of the DALL\u00b7E mini model have yet to be fully documented, given the fact that the model was trained on unfiltered data from the Internet, it may generate images that contain stereotypes against minority groups. Work to analyze the nature and extent of these limitations is ongoing, and will be documented in more detail in the <a href=\"https://huggingface.co/dalle-mini/dalle-mini\" target=\"_blank\">DALL\u00b7E mini model card</a>.\n</p>\n</details>", "name": "markdown", "visible": true, "style": {}}}, {"id": 13, "type": "markdown", "props": {"value": "<hr />\n<p style='text-align: center'>\nCreated by <a href=\"https://twitter.com/borisdayma\" target=\"_blank\">Boris Dayma</a> et al. 2021-2022\n<br/>\n<a href=\"https://github.com/borisdayma/dalle-mini\" target=\"_blank\">GitHub</a> | <a href=\"https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini-Generate-images-from-any-text-prompt--VmlldzoyMDE4NDAy\" target=\"_blank\">Project Report</a>\n<p style='text-align: center'>Powered by Google <a href=\"https://sites.research.google/trc/\" target=\"_blank\">TPU Research Cloud</a>\n</p>", "name": "markdown", "visible": true, "style": {}}}], "theme": "default", "css": ".container { max-width: 800px; margin: auto; }", "enable_queue": false, "layout": {"id": 0, "children": [{"id": 1, "children": [{"id": 2}, {"id": 3}, {"id": 4, "children": [{"id": 5, "children": [{"id": 6, "children": [{"id": 7}, {"id": 8}]}]}, {"id": 9}]}]}, {"id": 10, "children": [{"id": 11}, {"id": 12}, {"id": 13}]}]}, "dependencies": [{"targets": [8], "trigger": "click", "inputs": [7], "outputs": [9], "backend_fn": false, "js": "\n async (text) => {\n try {\n document.querySelector('#screenshot').style.display = 'none';\n response = await fetch('https://bf.dallemini.ai/generate', {\n method: 'POST',\n headers: {\n 'Accept': 'application/json',\n 'Content-Type': 'application/json'\n },\n body: JSON.stringify({\n prompt: text\n })\n });\n response = await response.json()\n let imgs = response.images.map(r => \"data:image/png;base64,\" + r)\n document.querySelector('#screenshot').style.display = 'block';\n return imgs\n } catch (e) {\n alert(\"Too much traffic, please try again.\")\n IMG = \"data:image/png;base64,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\"\n document.querySelector('#screenshot').style.display = 'block';\n return Array(9).fill(IMG)\n }\n }\n ", "status_tracker": null, "queue": null, "api_name": null, "scroll_to_output": false, "show_progress": true}, {"targets": [11], "trigger": "click", "inputs": [], "outputs": [], "backend_fn": false, "js": "\n () => {\n const captureElement = document.getElementById(1)\n let bg_color = getComputedStyle(document.querySelector(\"#root .container\"))[\"background-color\"]\n captureElement.style.backgroundColor = bg_color; \n html2canvas(captureElement)\n .then(canvas => {\n canvas.style.display = 'none'\n document.body.appendChild(canvas)\n return canvas\n })\n .then(canvas => {\n const image = canvas.toDataURL('image/png').replace('image/png', 'image/octet-stream')\n const a = document.createElement('a')\n const date = new Date()\n const filename = `dallemini_${date.getFullYear()}-${date.getMonth() + 1}-${date.getDate()}_${date.getHours()}-${date.getMinutes()}-${date.getSeconds()}.png`\n a.setAttribute('download', filename)\n a.setAttribute('href', image)\n a.click()\n canvas.remove()\n })\n }\n ", "status_tracker": null, "queue": null, "api_name": null, "scroll_to_output": false, "show_progress": true}]};
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+ </script>
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+
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+ <link rel="preconnect" href="https://fonts.googleapis.com" />
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+ <link
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+ rel="preconnect"
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+ href="https://fonts.gstatic.com"
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+ crossorigin="anonymous"
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+ />
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+ <link
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+ href="https://fonts.googleapis.com/css?family=Source Sans Pro"
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+ rel="stylesheet"
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+ />
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+ <link
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+ href="https://fonts.googleapis.com/css?family=IBM Plex Mono"
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+ rel="stylesheet"
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+ />
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+ <script src="https://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/4.3.1/iframeResizer.contentWindow.min.js"></script>
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+ <script type="module" crossorigin src="https://gradio.s3-us-west-2.amazonaws.com/3.0.9b12/assets/index.8eca4ae7.js"></script>
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+ <link rel="stylesheet" href="https://gradio.s3-us-west-2.amazonaws.com/3.0.9b12/assets/index.cbea297d.css">
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+ <style>
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+ #screenshot {
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+ display: none;
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+ }
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+ .container > div > div {
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+ padding: 0.5rem;
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+ }
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+ footer a {
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+ color: rgb(156 163 175) !important;
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+ }
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+ footer img {
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+ display: none !important;
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+ }
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+ </style>
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  </head>
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+
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+ <body
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+ style="
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+ margin: 0;
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+ padding: 0;
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+ display: flex;
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+ flex-direction: column;
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+ flex-grow: 1;
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+ "
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+ >
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+ <div
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+ id="root"
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+ style="display: flex; flex-direction: column; flex-grow: 1"
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+ ></div>
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+ <script src="html2canvas.js"></script>
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  </body>
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  </html>