FROM python:3.9-slim

# Set working directory
WORKDIR /code

# Copy requirements first (better caching)
COPY ./requirements.txt /code/requirements.txt

# Install dependencies
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# Set Hugging Face cache directory inside the container
ENV TRANSFORMERS_CACHE=/code/hf_cache

# Create cache directory with proper permissions
RUN mkdir -p /code/hf_cache && chmod -R 777 /code/hf_cache

# Pre-download the model at build time (so no runtime cache issues)
RUN python -c "from transformers import pipeline; pipeline('text-classification', model='knkarthick/Action_Items')"

# Copy application code
COPY ./app.py /code/app.py

# Expose port
EXPOSE 7860

# Start the FastAPI server
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]