Dockerfile

FROM python:3.11-slim

WORKDIR /app

# Install system dependencies (git, ffmpeg, audio libs, curl, build tools)
RUN apt-get update && apt-get install -y \
    git \
    ffmpeg \
    libsndfile1 \
    curl \
    build-essential \
    libgomp1 \
    ca-certificates \
    && rm -rf /var/lib/apt/lists/*

# Create a non-root user named "user" with user ID 1000
RUN useradd -m -u 1000 user

# Set environment variables for the new user
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH
# Install uv (modern Python package manager used by ACE-Step)

RUN curl -LsSf https://astral.sh/uv/install.sh | sh




# Clone the ACE-Step 1.5 repository (official GitHub source)
RUN git clone --depth 1 https://github.com/ACE-Step/ACE-Step-1.5.git acestep-repo

# Set environment variables for Gradio server and persistent Hugging Face / cache storage
ENV GRADIO_SERVER_NAME=0.0.0.0
ENV GRADIO_SERVER_PORT=7860
ENV GRADIO_ANALYTICS_ENABLED=False
ENV TOKENIZERS_PARALLELISM=false
ENV TORCHAUDIO_USE_TORCHCODEC=0
ENV HF_HOME=/data/.cache/huggingface
ENV TRANSFORMERS_CACHE=/data/.cache/huggingface
ENV TORCH_HOME=/data/.cache/torch
ENV ACESTEP_HOME=/data
ENV PYTHONUNBUFFERED=1

# Sync Python dependencies using uv (reads pyproject.toml from the repo)
WORKDIR /app/acestep-repo
RUN uv sync

# Create persistent storage directories so models, cache, and outputs survive restarts
RUN mkdir -p /data/.cache/huggingface /data/models /data/output /data/outputs

# Expose the Gradio port
EXPOSE 7860

# Start the ACE-Step Gradio interface via uv run
CMD cd /app/acestep-repo && \
    mkdir -p /data/.cache/huggingface /data/models /data/output /data/outputs && \
    echo "Starting ACE-Step v1.5 Gradio interface..." && \
    echo "Models and cache are stored in /data for persistence" && \
    uv run acestep