Update Dockerfile

Dockerfile

@@ -2,11 +2,15 @@
 # Build as `docker build . -t localgpt`, requires BuildKit.
 # Run as `docker run -it --mount src="$HOME/.cache",target=/root/.cache,type=bind --gpus=all localgpt`, requires Nvidia container toolkit.
 
-FROM nvidia/cuda:11.7.1-runtime-ubuntu22.04
+ARG CUDA_IMAGE="12.1.1-devel-ubuntu22.04"
+FROM nvidia/cuda:${CUDA_IMAGE}
+
 RUN apt-get update && apt-get install -y software-properties-common
 RUN apt-get install -y g++-11 make python3 python-is-python3 pip
+
 # only copy what's needed at every step to optimize layer cache
 COPY ./requirements.txt .
+
 # use BuildKit cache mount to drastically reduce redownloading from pip on repeated builds
 RUN --mount=type=cache,target=/root/.cache CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install --timeout 100 -r requirements.txt llama-cpp-python==0.1.83
 COPY SOURCE_DOCUMENTS ./SOURCE_DOCUMENTS
@@ -14,8 +18,8 @@ COPY ingest.py constants.py ./
 # Docker BuildKit does not support GPU during *docker build* time right now, only during *docker run*.
 # See <https://github.com/moby/buildkit/issues/1436>.
 # If this changes in the future you can `docker build --build-arg device_type=cuda  . -t localgpt` (+GPU argument to be determined).
-ARG device_type=cpu
-RUN --mount=type=cache,target=/root/.cache python ingest.py --device_type $device_type
+ARG device_type=cuda
+RUN --mount=type=cache,target=/root/.cache python ingest.py --device_type "cuda"
 COPY . .
 ENV device_type=cuda
-CMD python run_localGPT.py --device_type $device_type
+CMD python run_localGPT.py --device_type "cuda"