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ARG CUDA_IMAGE="12.1.1-devel-ubuntu22.04"
FROM nvidia/cuda:${CUDA_IMAGE}
# We need to set the host to 0.0.0.0 to allow outside access
ENV HOST 0.0.0.0
RUN apt-get update && apt-get upgrade -y \
&& apt-get install -y git build-essential \
python3 python3-pip gcc wget \
ocl-icd-opencl-dev opencl-headers clinfo \
libclblast-dev libopenblas-dev \
&& mkdir -p /etc/OpenCL/vendors && echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd
COPY . .
# setting build related env vars
ENV CUDA_DOCKER_ARCH=all
ENV LLAMA_CUBLAS=1
# Install depencencies
RUN python3 -m pip install --upgrade pip pytest cmake scikit-build setuptools fastapi uvicorn sse-starlette pydantic-settings gradio huggingface_hub hf_transfer
# Install llama-cpp-python (build with cuda)
# RUN CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python
RUN FORCE_CMAKE=1 pip install llama-cpp-python
RUN useradd -m -u 1000 user
# Switch to the "user" user
USER user
# Set home to the user's home directory
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
PYTHONPATH=$HOME/app \
PYTHONUNBUFFERED=1 \
GRADIO_ALLOW_FLAGGING=never \
GRADIO_NUM_PORTS=1 \
GRADIO_SERVER_NAME=0.0.0.0 \
GRADIO_THEME=huggingface \
SYSTEM=spaces
WORKDIR $HOME/app
# Copy the current directory contents into the container at $HOME/app setting the owner to the user
COPY --chown=user . $HOME/app
CMD ["python3", "app.py"]
# ARG UBUNTU_VERSION=22.04
# FROM ubuntu:$UBUNTU_VERSION as build
# RUN apt-get update && \
# apt-get install -y build-essential git
# RUN git clone https://github.com/ggerganov/llama.cpp
# WORKDIR /llama.cpp
# RUN make
# COPY . .
# # FROM ubuntu:$UBUNTU_VERSION as runtime
# # COPY --from=build /llama.cpp/main /main
# ENV LC_ALL=C.utf8
# ENTRYPOINT ["/main", "-m", "./models/ggml-model-q4_1.gguf", "-p", "### Instruction:\nତୁମେ କିଏ?\n\n### Response:\n"]
# # ./main -ngl 16 -m /content/openllama_odia_3b_base/ggml-model-q5_1.gguf -n 512 -p "### Instruction:\nତୁମେ କିଏ?\n\n### Response:\n"