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# Dockerfile for HuggingFace Spaces (Docker SDK)
#
# Hardware target: CPU Space (free tier) or GPU Space (T4-small recommended).
# Port 7860 is the HF Spaces standard.
#
# Build order:
# 1. System deps (libsndfile for soundfile, git for pip installs)
# 2. Python packages (cached layer)
# 3. App code (invalidates only on source changes)
# 4. Switch to non-root user (HF Spaces requirement)
# ─────────────────────────────────────────────────────────────────────────────
FROM python:3.11-slim
WORKDIR /app
# ── System dependencies ───────────────────────────────────────────────────── #
RUN apt-get update && apt-get install -y --no-install-recommends \
libsndfile1 \
libgomp1 \
git \
&& rm -rf /var/lib/apt/lists/*
# ── Python dependencies (cached unless requirements.txt changes) ──────────── #
COPY requirements.txt .
# Install CPU-only torch first (saves ~1 GB over default CUDA wheel).
# Comment these two lines out and use the plain pip install if you have a GPU Space.
RUN pip install --no-cache-dir \
torch==2.5.1+cpu torchaudio==2.5.1+cpu \
--index-url https://download.pytorch.org/whl/cpu
RUN pip install --no-cache-dir -r requirements.txt
# ── Application code ─────────────────────────────────────────────────────── #
COPY . .
# ── Non-root user for HF Spaces compatibility ─────────────────────────────── #
RUN useradd -m -u 1000 appuser \
&& chown -R appuser:appuser /app
USER 1000
# ── Model cache lives in the user home so HF Spaces can persist it ────────── #
ENV HF_HOME=/home/appuser/.cache/huggingface
ENV PORT=7860
EXPOSE 7860
# ── Healthcheck ───────────────────────────────────────────────────────────── #
HEALTHCHECK --interval=60s --timeout=10s --start-period=300s \
CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:7860/health')"
CMD ["python", "-m", "uvicorn", "app:app", \
"--host", "0.0.0.0", \
"--port", "7860", \
"--log-level", "info", \
"--ws-ping-interval", "30", \
"--ws-ping-timeout", "60"]
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