# --- Build Stage ---
# Use a full Python image to build dependencies
FROM docker.io/library/python:3.10 as builder

WORKDIR /opt/

# Create a virtual environment
RUN python -m venv venv

# Activate the venv and install packages
COPY requirements.txt .
RUN . /opt/venv/bin/activate && pip install --no-cache-dir -r requirements.txt


# --- Final Stage ---
# Use a slim image for the final container
FROM docker.io/library/python:3.10-slim

WORKDIR /app

# Copy the virtual environment from the builder stage
COPY --from=builder /opt/venv /opt/venv

# Copy the application code
COPY . .

# Set the PATH to use the venv's Python and packages
ENV PATH="/opt/venv/bin:$PATH"

# Set the cache directory for Hugging Face models
ENV HF_HOME=/app/cache/

# --- ADD THIS LINE ---
# Create the cache directory and make it writable
RUN mkdir -p /app/cache && chmod -R 777 /app/cache

# Expose the port and run the application
EXPOSE 7860
CMD ["gunicorn", "--bind", "0.0.0.0:7860", "app:app"]