# Step 1: Use a specific Python version
FROM python:3.9

# Step 2: Install system-level dependencies
# We need ffmpeg for your audio processing in ml_logic.py
RUN apt-get update && apt-get install -y ffmpeg

# Step 3: Set up the working directory inside the container
WORKDIR /app

# Step 4: Copy dependency file and install Python packages
# This is done first to leverage Docker's layer caching
COPY requirements.txt ./
RUN pip install --no-cache-dir -r requirements.txt

# Step 5: Copy all your application code into the container
COPY . .

# Step 6: Expose the port your app will run on
# Hugging Face Spaces uses port 7860 by default for web apps
EXPOSE 7860

# Step 7: Define the command to run your application
# We use gunicorn to run your Flask app created by create_app in run.py
# We bind it to 0.0.0.0 so it's accessible from outside the container.
CMD ["gunicorn", "--bind", "0.0.0.0:7860", "run:app"]