ci: use github-token to get around potential api throttling + rework dockerfile (#554)

* ci: use github-token to get around potential api throttling

* build: put pyannote-audio separate to the project

* fix: now that we have a readme, use it

* build: add UV_NO_CACHE

.github/workflows/deploy.yml

@@ -53,6 +53,7 @@ jobs:
           tags: ${{ steps.login-ecr.outputs.registry }}/${{ env.ECR_REPOSITORY }}:latest-${{ matrix.arch }}
           cache-from: type=gha,scope=${{ matrix.arch }}
           cache-to: type=gha,mode=max,scope=${{ matrix.arch }}
+          github-token: ${{ secrets.GHA_CACHE_TOKEN }}
           provenance: false
 
   create-manifest:

.github/workflows/test_server.yml

@@ -40,7 +40,8 @@ jobs:
           context: server
           platforms: linux/amd64
           cache-from: type=gha,scope=amd64
-          cache-to: type=gha,mode=min,scope=amd64
+          cache-to: type=gha,mode=max,scope=amd64
+          github-token: ${{ secrets.GHA_CACHE_TOKEN }}
 
   docker-arm64:
     runs-on: linux-arm64
@@ -54,4 +55,5 @@ jobs:
           context: server
           platforms: linux/arm64
           cache-from: type=gha,scope=arm64
-          cache-to: type=gha,mode=min,scope=arm64
+          cache-to: type=gha,mode=max,scope=arm64
+          github-token: ${{ secrets.GHA_CACHE_TOKEN }}

server/Dockerfile

@@ -1,7 +1,8 @@
 FROM python:3.12-slim
 
 ENV PYTHONUNBUFFERED=1 \
-    UV_LINK_MODE=copy
+    UV_LINK_MODE=copy \
+    UV_NO_CACHE=1
 
 # builder install base dependencies
 WORKDIR /tmp
@@ -13,8 +14,8 @@ ENV PATH="/root/.local/bin/:$PATH"
 # install application dependencies
 RUN mkdir -p /app
 WORKDIR /app
-COPY pyproject.toml uv.lock /app/
-RUN touch README.md && env uv sync --compile-bytecode --locked
+COPY pyproject.toml uv.lock README.md /app/
+RUN uv sync --compile-bytecode --locked
 
 # pre-download nltk packages
 RUN uv run python -c "import nltk; nltk.download('punkt_tab'); nltk.download('averaged_perceptron_tagger_eng')"

server/README.md

@@ -40,3 +40,5 @@ uv run python -c "from reflector.pipelines.main_live_pipeline import task_pipeli
 ```bash
 uv run python -c "from reflector.pipelines.main_live_pipeline import pipeline_post; pipeline_post(transcript_id='TRANSCRIPT_ID')"
 ```
+
+.