Dockerfile

# Use an official Python runtime as a parent image
FROM python:3.10-slim

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
ENV HOME=/tmp
ENV HF_HOME=/tmp/huggingface
ENV XDG_CACHE_HOME=/tmp/cache

# Set the working directory in the container
WORKDIR /app

# Install system dependencies for librosa and audio processing
RUN apt-get update && apt-get install -y \
    libsndfile1 \
    ffmpeg \
    && rm -rf /var/lib/apt/lists/*

# Copy the requirements file into the container
COPY requirements_render.txt .

# Install dependencies
RUN pip install --no-cache-dir -r requirements_render.txt

# Copy the entire project into the container
COPY . .

# Create necessary directories in /tmp and set permissions
RUN mkdir -p /tmp/huggingface /tmp/cache /tmp/matplotlib /tmp/numba /app/app/tmp/uploads && \
    chmod -R 777 /tmp /app/app/tmp/uploads

# Expose the port Render/HF uses
EXPOSE 7860

# Ensure the app user has permissions
RUN chown -R 1000:1000 /app
USER 1000

# Set PYTHONPATH so 'utils' can be found easily
ENV PYTHONPATH=/app

# Command to run the application
# We run from the root /app and point to app.main:app
# Increased timeout to 300 to handle slow TensorFlow initialization on Free plans
CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--timeout", "300", "--workers", "1", "--log-level", "debug", "--error-logfile", "-", "--access-logfile", "-", "app.main:app"]