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

# Set the working directory in the container
WORKDIR /app

# Install system dependencies required by some Python packages
# ffmpeg is crucial for audio/video processing
RUN apt-get update && apt-get install -y --no-install-recommends \
    ffmpeg \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

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

# Install any needed packages specified in requirements.txt
# This command will install the GPU version of PyTorch if the base image has CUDA support
# and the host machine has NVIDIA drivers. Otherwise, it can be adapted for CPU.
RUN pip install --no-cache-dir -r requirements.txt

# Copy the rest of the application's code into the container
COPY . .

# Make port 12000 available to the world outside this container
# This is the port the app will run on, as defined in the .env file
EXPOSE 12000

# Define environment variable to ensure python outputs everything without buffering
ENV PYTHONUNBUFFERED 1

# Run app.py when the container launches
# Use Gunicorn for a production-ready WSGI server
# The command will be specified in docker-compose.yml to allow for different entrypoints
# for the web server and celery worker.
CMD ["gunicorn", "--bind", "0.0.0.0:12000", "app:app"]