Dockerfile

# Use a standard Python slim image for a lightweight CPU environment
FROM python:3.11-slim

# Set the working directory
WORKDIR /app

# --- Installation ---
COPY requirements_local.txt .
COPY download_models.py .
RUN pip install --no-cache-dir -r requirements_local.txt

# --- Pre-download and Cache Models ---
# The RUN command securely accesses the HF_TOKEN secret to download all models.
RUN --mount=type=cache,target=/root/.cache/huggingface \
    --mount=type=secret,id=HUGGING_FACE_HUB_TOKEN \
    HUGGING_FACE_HUB_TOKEN=$(cat /run/secrets/HUGGING_FACE_HUB_TOKEN) python download_models.py

# --- Copy Application Files ---
# We only need to copy the main application file now.
COPY app.py .

# Expose the port the app runs on
EXPOSE 8000

# Command to run the application
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]