Dockerfile

# Use an official Python runtime as a parent image
FROM python:3.9-slim

# Set environment variables for Python and Numba
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    NUMBA_DISABLE_JIT=1 \
    NUMBA_CACHE_DIR=/tmp/numba_cache

# Set the working directory
WORKDIR /app

# Copy the requirements file into the container at /app
COPY requirements.txt /app/

# Install build dependencies
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
        llvm \
        clang \
        build-essential \
        libedit-dev \
        libffi-dev \
        python3-dev \
        libgl1-mesa-glx \
        libsm6 \
        libxrender1 \
        libglib2.0-0 \
        ffmpeg \
        && rm -rf /var/lib/apt/lists/*

# Set LLVM_CONFIG before building llvmlite (if needed)
ENV LLVM_CONFIG=/usr/bin/llvm-config-14

RUN pip install librosa==0.9.2 numba==0.55.2 llvmlite==0.38.0
# Install numpy first for numba compatibility
RUN pip install --no-cache-dir numpy==1.22.4

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

# Copy the rest of the application
COPY . /app/

# Create necessary directories
RUN mkdir -p /app/cache /app/uploads /app/results /app/checkpoints /app/temp \
 && chmod -R 777 /app/cache /app/uploads /app/results /app/checkpoints /app/temp

# Ensure full permissions for app directory
RUN chmod -R 777 /app

# Expose the app port
EXPOSE 7860

# Set Flask environment variables
ENV FLASK_APP=app.py \
    FLASK_ENV=production

# Start the application with Gunicorn
CMD ["gunicorn","0.0.0.0:7860","app:app"]