| # Use the NVIDIA CUDA image as the base | |
| FROM nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu20.04 | |
| # Set non-interactive mode for apt-get | |
| ENV DEBIAN_FRONTEND=noninteractive | |
| # Install system dependencies | |
| RUN apt-get update && apt-get install -y \ | |
| python3 \ | |
| python3-pip \ | |
| cmake \ | |
| build-essential \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Set up a new user named "user" with user ID 1000 | |
| RUN useradd -m -u 1000 user | |
| # Set the working directory | |
| WORKDIR /app | |
| # Copy the requirements file | |
| COPY requirements.txt . | |
| # Install Python dependencies | |
| RUN pip3 install --no-cache-dir --upgrade pip && \ | |
| pip3 install --no-cache-dir -r requirements.txt | |
| RUN pip3 install llama-cpp-python==0.1.0+cu121 | |
| # Install llama-cpp-python with CUDA support | |
| #ENV FORCE_CMAKE=1 | |
| #ENV CMAKE_ARGS="-DGGML_CUDA=on" | |
| #RUN pip3 install llama-cpp-python \ | |
| #--extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu121 | |
| # Copy the rest of the application code | |
| COPY . . | |
| # Change ownership of the app directory to the user | |
| RUN chown -R user:user /app | |
| # Switch to the "user" user | |
| USER user | |
| # Set the PATH to include the user's local bin directory | |
| ENV PATH="/home/user/.local/bin:$PATH" | |
| # Run the application | |
| CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] |