Change Wyoming port from 10200 to 10300

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Dockerfile

@@ -36,6 +36,6 @@ WORKDIR /app
 COPY server.py config.yaml entrypoint.sh ./
 RUN chmod +x entrypoint.sh
 
-EXPOSE 10200
+EXPOSE 10300
 
 ENTRYPOINT ["./entrypoint.sh"]

README.md

@@ -10,7 +10,7 @@ A Docker image running [Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M) T
 | PyTorch | 2.5.1 |
 | Target GPU | AMD RX 6700 XT (gfx1031) |
 | Kokoro model | hexgrad/Kokoro-82M |
-| Protocol | Wyoming (TCP, port 10200) |
+| Protocol | Wyoming (TCP, port 10300) |
 
 ## Quick start
 
@@ -18,13 +18,13 @@ A Docker image running [Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M) T
 docker compose up -d
 ```
 
-The Wyoming server will be available at `<host-ip>:10200`.
+The Wyoming server will be available at `<host-ip>:10300`.
 
 ## Home Assistant setup
 
 1. In Home Assistant, go to **Settings → Devices & Services → Add Integration**
 2. Search for **Wyoming Protocol**
-3. Enter your host IP and port `10200`
+3. Enter your host IP and port `10300`
 4. Kokoro voices will appear in your voice assistant configuration
 
 ## Configuration

config.yaml

@@ -1,7 +1,7 @@
 # Kokoro TTS Wyoming Server Configuration
 
 server:
-  uri: tcp://0.0.0.0:10200
+  uri: tcp://0.0.0.0:10300
 
 tts:
   device: cuda          # ROCm presents as 'cuda' to PyTorch via HIP

docker-compose.yml

@@ -14,7 +14,7 @@ services:
       - render
 
     ports:
-      - "10200:10200"
+      - "10300:10300"
 
     volumes:
       # Persist HuggingFace model/voice cache so downloads survive container restarts
@@ -34,7 +34,7 @@ services:
           import socket
           s = socket.socket()
           s.settimeout(5)
-          s.connect(('localhost', 10200))
+          s.connect(('localhost', 10300))
           s.close()
       interval: 30s
       timeout: 10s