Card: refreshed demo video + Rust/learned-router framing

README.md

@@ -3,8 +3,10 @@ title: smolcode
 emoji: 🤖
 colorFrom: purple
 colorTo: indigo
-sdk: docker
-app_port: 7860
+sdk: gradio
+sdk_version: 5.50.0
+python_version: "3.12"
+app_file: app.py
 pinned: false
 license: apache-2.0
 short_description: A tiny local model that writes code, runs it, and fixes it.
@@ -12,9 +14,9 @@ tags:
   - build-small-hackathon
   - agent
   - code-generation
+  - gradio
 ---
 
-
 # smolcode 🤖
 
 **A tiny local model that writes code, runs it, and fixes it — until it works.**
@@ -70,9 +72,14 @@ verify. Measured with `bench/run.py` on the hal backend.*
 Gradio UI  →  smolcode-core / LiteForge (Rust/PyO3)  →  OpenAI-compatible endpoint
                   specialty router + agent loop
                   tools: write_file, read_file, run_python, run_tests
-                  served by Ollama / llama.cpp
+                  served by Ollama / llama.cpp (local, HAL LAN, or public Modal+Ollama)
 ```
 
+The public demo serves the whole specialist matrix + Granite ladder from one
+Modal container running Ollama, so the specialty router escalates for real in the
+cloud — same engine, just an endpoint change. See
+[SPACE_DEPLOY.md](SPACE_DEPLOY.md) option (c).
+
 There's also a full terminal agent (`smolcode-cli`, a Rust ratatui TUI) and a
 Replit/Lovable-style app builder (`smolbuilder.py`) on the same engine.