Dockerfile

FROM nvidia/cuda:11.8.0-runtime-ubuntu22.04

# # Clone MMAudio
# RUN git clone https://huggingface.co/autophil/MMAudio_SS

WORKDIR /code/MMAudio_SS

# Install system dependencies
RUN apt-get update && apt-get install -y \
    python3.10 \
    python3.10-distutils \
    python3-pip \
    git \
    ffmpeg \
    libsm6 \
    libxext6 \
    curl \
    libsndfile1 \
    && rm -rf /var/lib/apt/lists/*

# # Ensure we're using Python 3.10
# RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.10 1

# # Install pip for Python 3.10 and upgrade it
# RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.10 && \
#     pip3 install --no-cache-dir --upgrade pip setuptools wheel

# Install Requirements
RUN pip3 install --no-cache-dir -r requirements.txt

# Install PyTorch and related packages first (as recommended in README)
RUN pip3 install --no-cache-dir \
    torch \
    torchvision \
    torchaudio \
    --index-url https://download.pytorch.org/whl/cu118 --upgrade
    
# Install MMAudio last (as recommended in README)
RUN pip3 --no-cache-dir install -e .


# Create output directory
RUN mkdir -p output/gradio && chmod 777 output/gradio

# # Copy app.py (we'll use our own version instead of the one from the repo)
# COPY app.py .

# Set environment variables for Hugging Face Spaces
ENV PYTHONUNBUFFERED=1
ENV GRADIO_SERVER_NAME=0.0.0.0
ENV GRADIO_SERVER_PORT=7860
ENV PYTHONPATH=/code/MMAudio

# Expose Gradio port
EXPOSE 7860

# Run the app
CMD ["python3", "app.py"]