doc: README updated for whisper

whisper/README.md

@@ -4,12 +4,9 @@ This is a standalone HTTP service for transcribing audio files using the OpenAI
 
 ## Prerequisites
 
-Make sure you have Python 3.9+ and `ffmpeg` installed on your system.
+Make sure you have Python 3.9+.
 
-To install `ffmpeg` on macOS:
-```bash
-brew install ffmpeg
-```
+The service uses `imageio-ffmpeg` to provide ffmpeg binary automatically. You do not need to install system ffmpeg manually.
 
 ## Setup & Run
 
@@ -34,6 +31,20 @@ The service will run on `http://localhost:8001`.
 
 ## API Endpoint
 
+- `GET /health`
+  - Returns: `{"status": "ok"}`
+
 - `POST /transcribe`
   - Body: `multipart/form-data` with a `file` field containing the audio blob.
   - Returns: `{"text": "transcribed text..."}`
+
+## Frontend Integration
+
+In DataClaw frontend:
+
+1. Click username at bottom-left to open user menu.
+2. Click `语音输入配置`.
+3. Fill in service URL, e.g. `http://localhost:8001`.
+4. Click `测试连接` first, then click `保存`.
+
+After configuration, click the mic button in chat input area to start voice input.