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+# Dockerfile — Hugging Face Spaces backend
+# Builds the FastAPI benchmark API, exposed on port 7860.
+#
+# Deploy steps:
+#   1. Create a new HF Space (Docker SDK) at huggingface.co/spaces
+#   2. Push this repo (or mirror it) to that Space's git remote
+#   3. HF will build and serve the image automatically
+
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# System deps: git (for HF model downloads), build tools for numpy/scipy
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    git \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# ── Install API dependencies first (better Docker layer caching) ──
+COPY api/requirements.txt /tmp/api-requirements.txt
+RUN pip install --no-cache-dir -r /tmp/api-requirements.txt
+
+# ── Install PyTorch CPU build (smaller than CUDA, sufficient for MOMENT) ──
+RUN pip install --no-cache-dir \
+    torch==2.1.0+cpu \
+    torchvision==0.16.0+cpu \
+    --index-url https://download.pytorch.org/whl/cpu
+
+# ── Install benchmark dependencies (torch already satisfied above) ──
+COPY ts-anomaly-benchmark/requirements.txt /tmp/benchmark-requirements.txt
+RUN pip install --no-cache-dir -r /tmp/benchmark-requirements.txt
+
+# ── Copy source code ──
+COPY ts-anomaly-benchmark/ /app/ts-anomaly-benchmark/
+COPY api/ /app/api/
+
+# Make benchmark modules importable as top-level packages
+ENV PYTHONPATH="/app/ts-anomaly-benchmark"
+
+# HF Spaces requires port 7860
+EXPOSE 7860
+
+CMD ["uvicorn", "api.app:app", "--host", "0.0.0.0", "--port", "7860"]