Spaces:
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# Use Python 3.11 for better performance and compatibility
# Optimized for Hugging Face Spaces with GPU support
FROM python:3.11-slim
# Set working directory
WORKDIR /app
# Set environment variables for optimal performance
ENV PYTHONUNBUFFERED=1 \
GRADIO_SERVER_NAME=0.0.0.0 \
GRADIO_SERVER_PORT=7860 \
HF_HOME=/tmp/.cache/huggingface \
TORCH_HOME=/tmp/.cache/torch \
TRANSFORMERS_CACHE=/tmp/.cache/huggingface/transformers \
PYTHONDONTWRITEBYTECODE=1 \
PYTHONHASHSEED=random
# Install system dependencies for audio processing, ML libraries, and GPU support
RUN apt-get update && apt-get install -y \
build-essential \
git \
curl \
ffmpeg \
libsndfile1 \
libsndfile1-dev \
libffi-dev \
libssl-dev \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements file first for better Docker layer caching
COPY requirements.txt .
# Upgrade pip and install Python dependencies
# Install PyTorch with CUDA support for GPU acceleration on Spaces
RUN pip install --no-cache-dir --upgrade pip setuptools wheel && \
pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 && \
pip install --no-cache-dir -r requirements.txt
# Clean up build dependencies to reduce image size
RUN apt-get purge -y build-essential libsndfile1-dev libffi-dev libssl-dev && \
apt-get autoremove -y && \
apt-get clean && \
rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
# Copy application files
COPY app.py .
COPY README.md .
# Create cache directories with proper permissions
RUN mkdir -p /tmp/.cache/huggingface /tmp/.cache/torch && \
chmod -R 777 /tmp/.cache
# Expose Gradio default port (required for Hugging Face Spaces)
EXPOSE 7860
# Health check - verify Gradio server is responding
# Extended start-period to allow model download and initialization
HEALTHCHECK --interval=30s --timeout=15s --start-period=300s --retries=5 \
CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:7860/')" 2>/dev/null || exit 1
# Run the application with proper resource management
CMD ["python", "-u", "app.py"]
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