whisper-server: move to port 8085 (8080 taken on the host)

Consistent across compose, entrypoint default, Dockerfile EXPOSE,
healthcheck, and README examples.

server/whisper-server/Dockerfile

@@ -39,5 +39,5 @@ COPY --from=build /src/build/bin/whisper-server /usr/local/bin/whisper-server
 COPY entrypoint.sh /usr/local/bin/entrypoint.sh
 RUN chmod +x /usr/local/bin/entrypoint.sh
 
-EXPOSE 8080
+EXPOSE 8085
 ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]

server/whisper-server/README.md

@@ -3,7 +3,7 @@
 The transcription backend for meetrec clients: the same pinned whisper.cpp
 release (v1.9.3) as the Android app, exposed as an HTTP inference API with
 **Vulkan GPU support** (AMD Radeon AI PRO R9700) and reachable over
-Tailscale at `100.103.83.12:8080`.
+Tailscale at `100.103.83.12:8085`.
 
 The Fairphone 6 transcribes at roughly 0.6–0.8× realtime on-device; the
 R9700 (Strix Halo, RDNA 3.5, ~256 GB/s shared memory) is bandwidth-bound
@@ -28,12 +28,12 @@ Configuration lives in `docker-compose.yml`:
 | ---------- | --------- | ------------------------------------------ |
 | `MODEL`    | `large-v3`| `tiny`/`base`/`small`/`medium`/`large-v3` (downloaded to `./models` on first start) |
 | `THREADS`  | `8`       | CPU threads per inference                  |
-| `PORT`     | `8080`    | Port inside the container                  |
+| `PORT`     | `8085`    | Port inside the container                  |
 
 ## Try it
 
 ```sh
-curl http://100.103.83.12:8080/inference \
+curl http://100.103.83.12:8085/inference \
   -F file=@meeting.wav \
   -F response_format=verbose_json \
   -F language=auto
@@ -51,7 +51,7 @@ Notes:
   override), so the live/final beam split of the clients doesn't apply
   here — one beam for all requests.
 - The server also has a `/load` endpoint to swap models at runtime.
-- **No authentication**: the compose file binds `100.103.83.12:8080`
+- **No authentication**: the compose file binds `100.103.83.12:8085`
   (Tailscale interface only) for that reason. Do not switch this to
   `0.0.0.0` unless the host is otherwise firewalled.
 - The image builds with CPU feature auto-detection (`-march=native`):
@@ -66,6 +66,6 @@ Notes:
 ## Client status
 
 - Desktop `meetrec`: a `whisper-server` engine is planned
-  (`--engine whisper-server --server-url http://100.103.83.12:8080`).
+  (`--engine whisper-server --server-url http://100.103.83.12:8085`).
 - Android app: a remote engine option is planned (phone records, server
   transcribes; local JNI stays as the offline fallback).

server/whisper-server/docker-compose.yml

@@ -8,7 +8,7 @@
 # never exposed to the LAN or the internet. Tailscale must own that IP
 # before the container starts, otherwise the bind fails — start order:
 # tailscale first, then `docker compose up -d`. If you would rather
-# tolerate LAN exposure, use "8080:8080" instead.
+# tolerate LAN exposure, use "8085:8085" instead.
 
 services:
   whisper-server:
@@ -22,14 +22,14 @@ services:
       MODEL: large-v3
       THREADS: 8
       HOST: 0.0.0.0          # inside the container; the host bind is below
-      PORT: 8080
+      PORT: 8085
       # NO_GPU: 1             # force CPU if the GPU ever misbehaves
 
     volumes:
       - ./models:/models      # keep downloads across container rebuilds
 
     ports:
-      - "100.103.83.12:8080:8080"   # tailscale-only; see note above
+      - "100.103.83.12:8085:8085"   # tailscale-only; see note above
 
     # GPU passthrough: the render group must match the host's GID, hence
     # the RENDER_GID env var in the comment at the top of this file.
@@ -41,7 +41,7 @@ services:
 
     healthcheck:
       # any HTTP response counts as healthy (the server has no /health)
-      test: ["CMD-SHELL", "curl -s -o /dev/null http://localhost:8080/ || exit 1"]
+      test: ["CMD-SHELL", "curl -s -o /dev/null http://localhost:8085/ || exit 1"]
       interval: 30s
       timeout: 5s
       retries: 3

server/whisper-server/entrypoint.sh

@@ -7,7 +7,7 @@ set -eu
 MODEL="${MODEL:-small}"
 THREADS="${THREADS:-4}"
 HOST="${HOST:-0.0.0.0}"
-PORT="${PORT:-8080}"
+PORT="${PORT:-8085}"
 MODEL_DIR="${MODEL_DIR:-/models}"
 FILE="$MODEL_DIR/ggml-$MODEL.bin"