Dockerfile

# Use an official NVIDIA CUDA base image with Python
FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu20.04

# Install Python and pip
RUN apt-get update && apt-get install -y \
    python3.9 \
    python3-pip \
    && ln -s /usr/bin/python3.9 /usr/bin/python \
    && apt-get clean

# Create and set a non-root user (required by Hugging Face)
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user PATH=/home/user/.local/bin:$PATH

# Set the working directory
WORKDIR /home/user/app

# Copy requirements and install dependencies
COPY --chown=user ./requirements.txt requirements.txt
RUN pip install --no-cache-dir --upgrade -r requirements.txt

# Copy your FastAPI app code
COPY --chown=user ./main.py /home/user/app/main.py

# Expose the port Hugging Face Spaces expects
EXPOSE 7860

# Run the FastAPI app with Uvicorn
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]