Show Built with ML Intern badge in the app UI

app.py

@@ -40,6 +40,42 @@ MODEL_ID = "openbmb/MiniCPM-V-4.7-35B-A3B"
 DOWNSAMPLE_MODE = "16x"
 MAX_NEW_TOKENS = 512
 
+# "Built with ML Intern" badge, injected into the page by launch(css=, js=).
+# gr.Workflow must be the top-level app (it cannot nest inside gr.Blocks), so
+# there is no gr.HTML slot — the badge is a fixed-position element appended to
+# <body> on page load, visible in both the app view and the canvas view.
+_BADGE_CSS = """
+#ml-intern-badge {
+    position: fixed;
+    left: 12px;
+    bottom: 12px;
+    z-index: 1000;
+    line-height: 0;
+}
+#ml-intern-badge img { height: 28px; }
+"""
+
+_BADGE_JS = """
+function addMlInternBadge() {
+    if (document.getElementById('ml-intern-badge')) return;
+    const badge = document.createElement('a');
+    badge.id = 'ml-intern-badge';
+    badge.href = 'https://hf.co/chat?mode=ml-intern';
+    badge.target = '_blank';
+    badge.rel = 'noopener';
+    const img = document.createElement('img');
+    img.src = 'https://huggingface.co/datasets/huggingface/badges/resolve/main/built-with-ml-intern-sm.svg';
+    img.alt = 'Built with ML Intern';
+    badge.appendChild(img);
+    document.body.appendChild(badge);
+}
+if (document.body) {
+    addMlInternBadge();
+} else {
+    document.addEventListener('DOMContentLoaded', addMlInternBadge);
+}
+"""
+
 # Load once at module scope and move to cuda here, not inside the GPU
 # functions: the spaces package intercepts the move, packs the weights, and
 # transfers them when a GPU is actually allocated — module scope costs no GPU
@@ -207,4 +243,4 @@ demo = gr.Workflow(
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(css=_BADGE_CSS, js=_BADGE_JS)