fish-speech / Dockerfile
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# ============================================================
# Fish Speech API Server β€” HuggingFace Spaces Dockerfile
# Target: GPU Space (T4 or better) on HuggingFace
# Port: 7860 (required by HF Spaces)
# ============================================================
FROM nvidia/cuda:12.6.1-devel-ubuntu22.04
# HF Spaces runs containers as UID 1000
ARG USERNAME=user
ARG USER_UID=1000
ARG USER_GID=1000
ENV DEBIAN_FRONTEND=noninteractive \
PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
# Where the model will be downloaded at startup
MODEL_DIR=/app/models/fish-speech-1.5 \
# HF Spaces requires the app to bind to 7860
APP_PORT=7860 \
APP_BIND=0.0.0.0 \
APP_WORKERS=1
WORKDIR /app
# ── System dependencies ──────────────────────────────────────
RUN apt-get update -q && \
apt-get install -fyq \
bash git cmake curl \
portaudio19-dev \
python3 python3-pip \
time && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
# ── Python dependencies ──────────────────────────────────────
# Clone the repo so we get the submodule (fish_speech) too.
# We pin to main; swap for a specific commit/tag for reproducibility.
RUN git clone --recurse-submodules \
https://github.com/EvilFreelancer/docker-fish-speech-server.git \
/app
RUN pip install --no-cache-dir -r /app/requirements.txt && \
pip install --no-cache-dir "huggingface_hub[cli]"
# ── Non-root user (required by HF Spaces) ────────────────────
RUN groupadd --gid ${USER_GID} ${USERNAME} && \
useradd --uid ${USER_UID} --gid ${USER_GID} -m ${USERNAME} && \
mkdir -p /app/models && \
chown -R ${USER_UID}:${USER_GID} /app
USER ${USERNAME}
# ── Entrypoint: download model on first run, then start API ──
# HF Spaces GPU Spaces provide CUDA at runtime via the host driver.
# The model download is deferred to startup so the Docker image
# itself stays small and HF caching can be reused across restarts.
COPY --chown=${USER_UID}:${USER_GID} entrypoint_hf.sh /app/entrypoint_hf.sh
RUN chmod +x /app/entrypoint_hf.sh
EXPOSE 7860
ENTRYPOINT ["/app/entrypoint_hf.sh"]