Serve Gradio viewer with Docker runtime

Dockerfile

@@ -0,0 +1,23 @@
+FROM python:3.11-slim
+
+ENV HF_HOME=/tmp/.cache/huggingface \
+    HF_MODULES_CACHE=/tmp/hf_modules \
+    MPLCONFIGDIR=/tmp/matplotlib \
+    GRADIO_ANALYTICS_ENABLED=False \
+    GRADIO_SSR_MODE=false \
+    PYTHONUNBUFFERED=1
+
+WORKDIR /app
+
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends git \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir --upgrade pip \
+    && pip install --no-cache-dir -r requirements.txt
+
+COPY app.py .
+
+EXPOSE 7860
+CMD ["python", "app.py"]

README.md

@@ -3,10 +3,8 @@ title: Codex Traces
 emoji: 🚀
 colorFrom: gray
 colorTo: indigo
-sdk: gradio
-sdk_version: 5.49.1
-python_version: 3.11
-app_file: app.py
+sdk: docker
+app_port: 7860
 short_description: Visualize private Codex rollout logs
 startup_duration_timeout: 1h
 ---

app.py

@@ -1421,4 +1421,8 @@ demo = build_app()
 print("codex-traces startup: demo ready", flush=True)
 
 print("codex-traces startup: launching", flush=True)
-demo.launch(show_error=True)
+demo.launch(
+    server_name="0.0.0.0",
+    server_port=int(os.environ.get("PORT", "7860")),
+    show_error=True,
+)