chore: clean

Dockerfile

@@ -1,26 +1,11 @@
 #FROM ghcr.io/ten-framework/ten_agent_build:0.4.17-2-geca93b3-cuda
 FROM ghcr.io/ten-framework/ten_agent_build:0.5.0-2-g7d064cd-vllm-cpu
 
-#RUN apt update -y && apt-get install -y --no-install-recommends libnuma-dev
-
-RUN pip install "huggingface_hub[cli]"
-RUN pip install hf_transfer
+RUN pip install "huggingface_hub[cli]" hf_transfer
 
 # install vllm
 #RUN pip install vllm
-#RUN git clone https://github.com/vllm-project/vllm.git
-#RUN pip install cmake>=3.26 wheel packaging ninja "setuptools-scm>=8" numpy
-#RUN cd vllm && pip install -v -r requirements/cpu.txt --extra-index-url https://download.pytorch.org/whl/cpu
-#RUN git clone -b rls-v3.5 https://github.com/oneapi-src/oneDNN.git
-#RUN cmake -B ./oneDNN/build -S ./oneDNN -G Ninja -DONEDNN_LIBRARY_TYPE=STATIC \
-#    -DONEDNN_BUILD_DOC=OFF \
-#    -DONEDNN_BUILD_EXAMPLES=OFF \
-#    -DONEDNN_BUILD_TESTS=OFF \
-#    -DONEDNN_BUILD_GRAPH=OFF \
-#    -DONEDNN_ENABLE_WORKLOAD=INFERENCE \
-#    -DONEDNN_ENABLE_PRIMITIVE=MATMUL
-#RUN cmake --build ./oneDNN/build --target install --config Release -j 1
-#RUN cd vllm && VLLM_TARGET_DEVICE=cpu MAX_JOBS=2 python3 setup.py install
+
 
 # install node and npm for demo
 ENV NVM_DIR /usr/local/nvm
@@ -54,7 +39,7 @@ ENV HOME=/home/user \
 	PATH=/home/user/.local/bin:$PATH
 
 # Set the working directory to the user's home directory
-WORKDIR $HOME/app
+# WORKDIR $HOME/app
 
 # Try and run pip command after setting the user with `USER user` to avoid permission issues with Python
 RUN pip install --no-cache-dir --upgrade pip