redesign: SICS-1 / Фабрика гипотез visual identity

README.md

@@ -1,6 +1,6 @@
 ---
-title: SICS-1-35B (ZeroGPU)
-emoji: 🧪
+title: SICS-1-35B · Фабрика гипотез
+emoji: ⚗️
 colorFrom: blue
 colorTo: green
 sdk: gradio
@@ -10,18 +10,23 @@ app_file: app.py
 pinned: false
 ---
 
-# SICS-1-35B on ZeroGPU
+# SICS-1-35B · «Фабрика гипотез»
 
-Interactive demo endpoint for **SICS-1-35B** — our fine-tuned 35B
-mixture-of-experts reasoning model — served as a **GGUF `Q4_K_M`** via
-`llama-cpp-python` on **ZeroGPU**. Reachable programmatically via `gradio_client`.
+The public demo endpoint for **SICS-1-35B** — our fine-tuned 35B
+mixture-of-experts reasoning model, the engine behind **«Фабрика гипотез»**
+(Hypothesis Factory): an AI co-scientist that turns froth-flotation tailings
+analysis into ranked, cited, testable process/equipment hypotheses to recover
+more Ni and Cu.
+
+Served as a **GGUF `Q4_K_M`** via `llama-cpp-python` on **ZeroGPU**. Reachable
+programmatically via `gradio_client`.
 
 The model is lazily loaded with `Llama(n_gpu_layers=-1)` created **inside** the
 `@spaces.GPU` call, so CUDA is initialised in the GPU worker, not the main
 process — which is what ZeroGPU requires.
 
-Panels: **🖥 Preview** (live HTML/JS artifact), **🧩 Code**,
-**🧠 Reasoning**, **📝 Raw**.
+Panels: **🖥 Превью** (live HTML/JS artifact), **🧩 Инструменты**,
+**🧩 Код**, **🧠 Рассуждение**, **📝 Raw**.
 
 ## Required settings
 - **Hardware:** ZeroGPU (`zero-a10g`) — fits the ~21 GB Q4 quant with room for KV.