run docker as specific user

Dockerfile

@@ -16,10 +16,19 @@ RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86
 
 # Put conda in path so we can use conda activate
 ENV PATH=$CONDA_DIR/bin:$PATH
-
 RUN conda install --yes pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
 
-COPY . .
+# User setup
+RUN useradd -m -u 1000 user
+
+USER user
+
+ENV HOME=/home/user \
+	PATH=/home/user/.local/bin:$PATH
+
+WORKDIR $HOME/app
+
+COPY --chown=user . $HOME/app
 
 RUN git clone https://github.com/TRI-ML/vlm-evaluation.git
 
@@ -27,4 +36,4 @@ RUN cd vlm-evaluation && pip install -e .
 
 RUN pip install -e .
 
-CMD ["sh", "/code/startup.sh"]
+CMD ["sh", "/app/startup.sh"]

startup.sh

@@ -8,9 +8,13 @@ P2=$!
 sleep 30 
 echo "PWD:"
 pwd
-echo $TEST_SECRET
-evho "env:"
-echo $(env)
+echo "LS:"
+ls -als
+
+echo "TEST SECRET: $TEST_SECRET"
+
+echo "ENV: $(env)"
+
 echo $HF_TOKEN > .hf_token
 python -m interactive_demo --port 40000 --model_id prism-dinosiglip+7b
 python -m interactive_demo --port 40001 --model_family llava-v15 --model_id llava-v1.5-7b --model_dir liuhaotian/llava-v1.5-7b