Model card: screenshots of the onw window

README.md

@@ -46,6 +46,10 @@ language:
 3. 「サーバー」タブで「起動」を押します。初回だけ NPU 向けの準備に約 4 分かかります。
 4. 「チャットを開く」ですぐ試せます。他のアプリからは **OpenAI 互換 API** として使えます（base URL は `http://localhost:8000/v1`）。
 
+<img src="https://huggingface.co/ryugyosoft/onw/resolve/main/images/onw-models.png" width="640" alt="onw ウィンドウの「モデル」タブ">
+
+<img src="https://huggingface.co/ryugyosoft/onw/resolve/main/images/onw-server.png" width="49%" alt="「サーバー」タブ"> <img src="https://huggingface.co/ryugyosoft/onw/resolve/main/images/onw-settings.png" width="49%" alt="「設定」タブ">
+
 ```python
 from openai import OpenAI
 c = OpenAI(base_url="http://localhost:8000/v1", api_key="none")

README_en.md

@@ -29,6 +29,10 @@ Text + image. The same validated NPU graphs as the standalone [ryugyosoft/gemma-
 3. Server tab: press Start. The first start prepares it for the NPU (~4 min).
 4. "Open chat" to try it. Other apps can use it as an **OpenAI-compatible API** (base URL `http://localhost:8000/v1`).
 
+<img src="https://huggingface.co/ryugyosoft/onw/resolve/main/images/onw-models.png" width="640" alt="The Models tab of the onw window">
+
+<img src="https://huggingface.co/ryugyosoft/onw/resolve/main/images/onw-server.png" width="49%" alt="Server tab"> <img src="https://huggingface.co/ryugyosoft/onw/resolve/main/images/onw-settings.png" width="49%" alt="Settings tab">
+
 ```python
 from openai import OpenAI
 c = OpenAI(base_url="http://localhost:8000/v1", api_key="none")