# Dockerfile

# Use a specific Python version slim image for smaller size.
# python:3.10 is recommended as it's well-supported by many ML libraries.
FROM python:3.10-slim

# Set the working directory inside the container
WORKDIR /code

# Set Hugging Face cache directory environment variable.
# Use /tmp which is generally writable in containers and suitable for caching downloads.
# This prevents permission errors when transformers/diffusers try to download models.
ENV HUGGINGFACE_HUB_CACHE="/tmp/huggingface_cache"
# Optional: You could also set HF_HOME for broader config/cache, but HUB_CACHE is specific to downloads.
# ENV HF_HOME="/tmp/hf_home"

# Optional: Explicitly create the directory and ensure permissions, though /tmp usually works.
# RUN mkdir -p $HUGGINGFACE_HUB_CACHE && chmod 777 $HUGGINGFACE_HUB_CACHE

# Install essential system dependencies.
# - ffmpeg: Required by imageio for writing MP4 video files.
# Use --no-install-recommends to keep the image smaller.
# Clean up apt cache afterwards in the SAME layer to reduce image size.
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
        ffmpeg \
    && apt-get clean && \
    rm -rf /var/lib/apt/lists/*

# Copy just the requirements file first to leverage Docker cache.
# If requirements.txt doesn't change, this layer won't be rebuilt.
COPY requirements.txt requirements.txt

# Install Python dependencies using pip.
# Upgrade pip first.
# Use --no-cache-dir to reduce image size by not storing the pip download cache.
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt

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

# Expose the port the application will run on.
# 7860 is the default port expected by Hugging Face Spaces Gradio/Docker SDKs.
EXPOSE 7860

# Define the command to run the application when the container starts.
# Use uvicorn to run the FastAPI app defined in app.py (the 'app' object).
# --host 0.0.0.0 makes the server accessible from outside the container.
# --port 7860 matches the EXPOSE directive.
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]