Dockerfile

# 1. Use a standard Python slim image for a smaller footprint
FROM python:3.12-slim-bookworm

# Set the working directory inside the container
WORKDIR /app

# 2. Install necessary system dependencies for image processing (PIL/Pillow/Torchvision)
# These libraries ensure proper handling of image files.
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
    libsm6 \
    libxext6 \
    libxrender1 && \
    rm -rf /var/lib/apt/lists/*

# Copy the current directory contents into the container at /app
COPY . /app

# Install Python dependencies from requirements.txt
# Using --default-timeout is good practice, but not strictly required here.
RUN pip install --upgrade pip
RUN pip install --default-timeout=100 --no-cache-dir -r requirements.txt

# 3. Expose the port required by Hugging Face Spaces (MANDATORY)
EXPOSE 7860

# 4. Command to run the FastAPI application using uvicorn.
# We point uvicorn to the app instance: Skin-Cancer.app:app
# The host must be 0.0.0.0 and the port MUST be 7860.
CMD ["uvicorn", "Skin-Cancer.app:app", "--host", "0.0.0.0", "--port", "7860"]