homepage: add per-model input modalities to the LLM cards

Each LLM card now lists its accepted inputs as a line (Inputs: text · image ·
audio), sourced from the harness models.yml:
- frank-large: text (no vision projector)
- frank-medium: text, image (Gemma4 vision path)
- frank-small: text, image, audio (Gemma4 projector audio encoder; audio is
  not in models.yml's input list only because OMP's schema rejects it, but the
  endpoint accepts input_audio parts)

New .desc-inputs CSS + bare-mode reset; /docs model guide gains an Inputs line
per model. bats 30/30 + live render verified.

shared/homepage/docs.html

@@ -49,6 +49,7 @@
   <ul>
     <li><strong>Model:</strong> Qwen3.8-27B (UD-Q8_K_XL, 31.5 GiB).</li>
     <li><strong>Capacity:</strong> 262k-token context, exactly one conversation at a time. Text only.</li>
+    <li><strong>Inputs:</strong> text.</li>
     <li><strong>Best for:</strong> cybersecurity and debugging. <em>Use requires Frank's permission.</em></li>
     <li><strong>Not for:</strong> images. It cannot see them.</li>
   </ul>
@@ -57,6 +58,7 @@
   <ul>
     <li><strong>Model:</strong> Qwen3.8-27B-Uncensored (MXFP4/W4A8, 19.4 GiB).</li>
     <li><strong>Capacity:</strong> 262k-token context shared by up to eight conversations at once; sees images.</li>
+    <li><strong>Inputs:</strong> text, image.</li>
     <li><strong>Best for:</strong> software engineering, system administration, and instruction tasks. Beats Claude Sonnet 5 per Artificial Analysis.</li>
   </ul>
 
@@ -64,6 +66,7 @@
   <ul>
     <li><strong>Model:</strong> Gemma4-12B QAT (Balanced, Q4_K_M, 7.4 GiB).</li>
     <li><strong>Capacity:</strong> one million tokens of pooled context across four simultaneous conversations (up to 262k each); fastest at images.</li>
+    <li><strong>Inputs:</strong> text, image, audio.</li>
     <li><strong>Best for:</strong> agentic search, RAG, research subagents, translation, roleplay, and summarization — any small task that doesn't need much intelligence, and anything with a picture (screenshots, photos, diagrams).</li>
   </ul>