Spaces:
Running
Running
| /* Silicon Factory hub — data + rendering, client side. | |
| * | |
| * The Python app this replaces read `models.json` from disk at import and rendered two | |
| * Markdown tables. A static page cannot read the host's filesystem, so the array below IS | |
| * the database: it is the only thing to edit when adding a published model or dataset. | |
| * | |
| * SEED DATA — replace with your real rows. Every `murl` points at a repository that exists | |
| * on the AEUPH account; where a dataset was never published the `durl` is "#" and the row | |
| * is marked, and `entries`/`date` for those rows are placeholders rather than measurements. | |
| */ | |
| var MODELS = [ | |
| { name: "synthetic_Jailbreak_Defense_Doorpage_v62", | |
| murl: "https://huggingface.co/AEUPH/synthetic_Jailbreak_Defense_Doorpage_v13-model", | |
| durl: "https://huggingface.co/datasets/AEUPH/synthetic_Jailbreak_Defense_Doorpage_v62", | |
| focus: "Safety / refusal alignment", entries: 1450, date: "2026-10-12" }, | |
| { name: "SDXL UNet GGUF quantisation set", | |
| murl: "https://huggingface.co/AEUPH/sdxl-unet-q8-gguf", | |
| durl: "#", | |
| focus: "Diffusion UNet GGUF (Q4_0/Q8_0/F16/F32)", entries: 8, date: "2026-08-04" }, | |
| { name: "BRUTE-AI self-prompting transcripts", | |
| murl: "https://huggingface.co/spaces/AEUPH/BRUTE-AI", | |
| durl: "#", | |
| focus: "Agentic self-prompting / injection loop", entries: 250, date: "2025-11-02" }, | |
| { name: "Hyper-dimensional lexicon generator", | |
| murl: "https://huggingface.co/spaces/AEUPH/HIGHER-DIMENSIONAL-LEXICON-GENERATOR", | |
| durl: "#", | |
| focus: "HDC/VSA vocabulary encoding", entries: 1024, date: "2025-09-09" }, | |
| { name: "Quantum cognition chat prompts", | |
| murl: "https://huggingface.co/spaces/AEUPH/QUANTUM_COGNITION_CHAT_AI", | |
| durl: "#", | |
| focus: "Quantum-inspired reasoning", entries: 320, date: "2025-06-18" }, | |
| { name: "SDXL VAE / text-encoder checkpoints", | |
| murl: "https://huggingface.co/AEUPH/pornworks-v04-te-vae-sdxl", | |
| durl: "#", | |
| focus: "SDXL text encoder + VAE", entries: 4, date: "2026-05-30" } | |
| ]; | |
| var BUY_URL = "https://buy.stripe.com/3cIcN4gzC7lXfuH49s7wA00"; | |
| function esc(s) { | |
| return String(s === undefined || s === null ? "" : s) | |
| .replace(/[&<>"]/g, function (c) { | |
| return ({ "&": "&", "<": "<", ">": ">", '"': """ })[c]; | |
| }); | |
| } | |
| /* Same derivation as the Python: the free-inference target is the model path itself. */ | |
| function freeInferenceUrl(m) { | |
| var path = String(m.murl || "").replace("https://huggingface.co/", ""); | |
| return "https://huggingface.co/" + path; | |
| } | |
| function modelLabel(m) { | |
| return String(m.murl || "#").split("/").pop(); | |
| } | |
| function link(url, text, cls) { | |
| if (!url || url === "#") return esc(text) + " <span class=\"sub\">(not published)</span>"; | |
| return '<a' + (cls ? ' class="' + cls + '"' : "") + ' href="' + esc(url) + '" target="_blank" rel="noopener">' + | |
| esc(text) + "</a>"; | |
| } | |
| function render() { | |
| document.getElementById("count").innerHTML = | |
| "<b>Total models published: " + MODELS.length + "</b> · rendered from an embedded array, no server"; | |
| var free = ['<table><thead><tr><th>#</th><th>Model</th><th>Dataset</th><th>Focus</th>' + | |
| '<th>Entries</th><th>Free Inference</th></tr></thead><tbody>']; | |
| for (var i = 0; i < MODELS.length; i++) { | |
| var m = MODELS[i]; | |
| free.push("<tr><td>" + (i + 1) + "</td>" + | |
| "<td>" + link(m.murl, modelLabel(m)) + "</td>" + | |
| "<td>" + link(m.durl, m.name || "N/A") + "</td>" + | |
| "<td>" + esc(m.focus || "N/A") + "</td>" + | |
| "<td>" + esc(m.entries || 0) + "</td>" + | |
| "<td>" + link(freeInferenceUrl(m), "🆓 Try Free") + "</td></tr>"); | |
| } | |
| free.push("</tbody></table>"); | |
| document.getElementById("freeTable").innerHTML = free.join(""); | |
| var buy = ['<table><thead><tr><th>#</th><th>Dataset</th><th>Model</th><th>Focus</th>' + | |
| '<th>Entries</th><th>Date</th><th>Buy</th></tr></thead><tbody>']; | |
| for (var j = 0; j < MODELS.length; j++) { | |
| var b = MODELS[j]; | |
| buy.push("<tr><td>" + (j + 1) + "</td>" + | |
| "<td>" + link(b.durl, b.name || "N/A") + "</td>" + | |
| "<td>" + link(b.murl, modelLabel(b)) + "</td>" + | |
| "<td>" + esc(b.focus || "N/A") + "</td>" + | |
| "<td>" + esc(b.entries || 0) + "</td>" + | |
| "<td>" + esc(b.date || "N/A") + "</td>" + | |
| '<td><a class="buy" href="' + BUY_URL + '" target="_blank" rel="noopener">💳 Buy $2,500</a></td></tr>'); | |
| } | |
| buy.push("</tbody></table>"); | |
| document.getElementById("buyTable").innerHTML = buy.join(""); | |
| } | |
| function exportJson() { | |
| var blob = new Blob([JSON.stringify(MODELS, null, 2)], { type: "application/json" }); | |
| var a = document.createElement("a"); | |
| a.href = URL.createObjectURL(blob); | |
| a.download = "models.json"; | |
| document.body.appendChild(a); | |
| a.click(); | |
| document.body.removeChild(a); | |
| } | |
| document.getElementById("exportBtn").addEventListener("click", exportJson); | |
| document.getElementById("toggleBtn").addEventListener("click", function () { | |
| var pre = document.getElementById("raw"); | |
| var show = pre.style.display === "none"; | |
| pre.style.display = show ? "block" : "none"; | |
| pre.textContent = show ? JSON.stringify(MODELS, null, 2) : ""; | |
| }); | |
| render(); | |