Dockerfile

# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
# Use NVIDIA PyTorch base image for GPU support
FROM pytorch/pytorch:2.1.0-cuda12.1-cudnn8-devel

# Set timezone to prevent interactive prompts
ENV DEBIAN_FRONTEND=noninteractive
ENV TZ=UTC

# Create user as required by HF Spaces
RUN useradd -m -u 1000 user

# Install system dependencies
RUN apt-get update && apt-get install -y \
    git \
    wget \
    curl \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    libgoogle-perftools4 \
    libtcmalloc-minimal4 \
    ffmpeg \
    tzdata \
    git-lfs \
    && ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Switch to user
USER user

# Set environment variables for user
ENV PATH="/home/user/.local/bin:$PATH"
ENV PYTHONPATH=/app
ENV GRADIO_SERVER_NAME=0.0.0.0
ENV GRADIO_SERVER_PORT=7860
ENV HF_HOME=/tmp/hf_cache
ENV TRANSFORMERS_CACHE=/tmp/hf_cache
ENV HF_HUB_CACHE=/tmp/hf_cache

# Set working directory
WORKDIR /app

# Copy requirements and install Python dependencies
COPY --chown=user ./requirements.txt requirements.txt
RUN pip install --no-cache-dir --upgrade -r requirements.txt

# Copy application code
COPY --chown=user . /app

# Create necessary directories
RUN mkdir -p pretrained_models outputs /tmp/hf_cache

# Make scripts executable
RUN chmod +x download_models.sh start.sh

# Expose port (required by HF Spaces to be 7860)
EXPOSE 7860

# Start the application using startup script
CMD ["./start.sh"]