AI Image-to-Text Fuser

Upload two images and AI will create a bio for their fusion in text.

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Upload your first image...

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Upload your second image...

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\n \n\n \n\n","url","link_url","/p/7r0zj4melxg5lscp_fum","versioned_link_url","/p/7r0zj4melxg5lscp_fum/1","yapping","**Exploring AI image-to-text app**\n\nI’m working on building a multi-file web app that focuses on AI image-to-text fusion. To do this effectively, I’ll consider using websim APIs for processing image inputs. It seems file structure and JS modules are necessary, and I should avoid base64 data URLs for images. There’s a conflict though since I might need to use base64 for image inputs. However, I need to follow the developer's guidance and avoid embedding base64 images in my markup!\n**Considering image upload options**\n\nI’m thinking about alternatives for uploading images, such as using input type=\"file\" to read images as blobs and then send them to websim.imageGen. For chat inputs, base64 encoded image data URLs are required, but I want to avoid that. I’m wondering if I could generate descriptions using a canvas or process images with websim.imageGen, but those options seem limited. Asking users for descriptions doesn’t feel right either, as they want to upload images directly. It's quite a puzzle!\n**Processing image constraints**\n\nI think I can process two images locally and use websim.chat without including any images. In-browser image classifiers aren’t feasible offline, though. Given the constraints, I’m considering using websim.imageGen with settings like \"transparent: true,\" but I’m not sure if that’s necessary. The instructions stress not to use base64 data URLs for images. I might use base64 only for API calls but not to display them. It looks like I need to set up index.html, styles.css, and app.js while possibly including lightweight JS libraries from a CDN.\n**Planning HTML formatting**\n\nThey’ve requested formatting using HTML tags without CSS, but I think our design could still be a simple black and white with fonts like Cal Sans. We’ll use file input type=\"file\" instead of type=\"upload.\" The implementation will involve reading files and converting them to data URLs (base64) for the model. I see the need for loading states and a comments section too. I'll prepare an index.html file that includes an import map and uses Google Fonts, opting for Noto Sans instead of Cal Sans since it’s more widely supported.\n**Outlining app functionality**\n\nI’m planning to include buttons and areas in the design. The styles.css will set a white background with black text and use the Noto Sans font for a clean, simple layout, plus some subtle animations. \n\nIn app.js, I’ll handle file inputs, convert images to base64, and create a message for websim.chat that specifies HTML only. I’ll implement a comments section where users can add a title in a textarea, ensuring it blocks empty submissions and shows a 10-second loading indicator. I need to move the promptBaseline variable to app.js and make sure to collect the two image URLs properly!\n\nindex.html\n\n```index.html\n```\n\nstyles.css\n```styles.css\n```\n\napp.js\n```app.js\n```","cursor","eyJpZCI6IjdyMHpqNG1lbHhnNWxzY3BfZnVtIn0","token","included",[],"routes/browser/layout","actionData","errors"]