Dockerfile

FROM python:3.9-slim

WORKDIR /app



# Install system dependencies
RUN apt-get update && apt-get install -y \
    git \
    build-essential \
    libsndfile1 \
    ffmpeg \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Create and set permissions for cache directories
RUN mkdir -p /.cache && chmod 777 /.cache
RUN mkdir -p /root/.cache && chmod 777 /root/.cache
RUN mkdir -p /usr/local/share/nltk_data && \
    chmod -R 777 /usr/local/share/nltk_data

# Copy requirements file
COPY requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir -U pip && \
    pip install --no-cache-dir -r requirements.txt

# Pre-download NLTK data
RUN python -c "import nltk; nltk.download('punkt', download_dir='$NLTK_DATA'); nltk.download('stopwords', download_dir='$NLTK_DATA'); nltk.download('wordnet', download_dir='$NLTK_DATA')"


# Clone VERSA repository
RUN git clone https://github.com/wavlab-speech/versa.git && \
    cd versa && \
    pip install -e .

# Set up data directories
RUN mkdir -p /app/data/configs /app/data/uploads /app/data/results && \
    chmod -R 777 /app/data

# Copy universal metrics YAML file
COPY universal_metrics.yaml /app/data/configs/

# Copy application code
COPY app.py .

# Create installation complete indicator
RUN touch /app/versa/.installation_complete

# Set port
EXPOSE 7860

# Set environment variables
ENV GRADIO_SERVER_NAME="0.0.0.0"
ENV NLTK_DATA=/usr/local/share/nltk_data
ENV PYTHONUNBUFFERED=1
ENV HF_HOME=/root/.cache/huggingface

# Set for Numba cache (error from https://github.com/librosa/librosa/issues/1156)
RUN mkdir -m 777 /tmp/NUMBA_CACHE_DIR /tmp/MPLCONFIGDIR
ENV NUMBA_CACHE_DIR=/tmp/NUMBA_CACHE_DIR/
ENV MPLCONFIGDIR=/tmp/MPLCONFIGDIR/

# Run the application
CMD ["python", "app.py"]