# Use Python 3.9 as base image (Compatible with torch/transformers)
FROM python:3.9

# Set working directory
WORKDIR /code

# Copy requirements first to leverage Docker cache
COPY ./requirements.txt /code/requirements.txt

# Install dependencies (no-cache to keep image small)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# Create a clean directory structure for the app
# Copy the app directory
COPY ./app /code/app

# Copy the data directory (Ensure writable)
COPY ./data /code/data
RUN chmod 777 /code/data

# Copy the model (This will be large, ensure .dockerignore includes it if we were ignoring it, but here we need it)
# Make sure the model path aligns with where your code expects it (in ../model relative to service)
# Code expects: BASE_DIR/../../model -> /code/app/services/../../model -> /code/model
COPY ./model /code/model

# Expose port (Hugging Face Spaces uses 7860 by default)
EXPOSE 7860

# Command to run the app
# Note: We use port 7860 which is standard for HF Spaces
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]