add user bigcodebenchuser

Dockerfile

@@ -1,38 +1,39 @@
 # Better use newer Python as generated code can use new features
 FROM python:3.10-slim
 
+# RUN rm -rf /var/lib/apt/lists/*
 # install git, g++ and python3-tk
 RUN apt-get update && apt-get install -y git g++ python3-tk zip unzip procps r-base
 
 # upgrade to latest pip
 RUN pip install --upgrade pip
 
-# Add a new user "bigcodebenchuser"
-#RUN adduser --disabled-password --gecos "" bigcodebenchuser
-
-#RUN rm -rf /bigcodebench
-
 # Acquire benchmark code to local
 # ADD "https://api.github.com/repos/bigcode-project/bigcodebench/commits?per_page=1" latest_commit
 # RUN git clone https://github.com/bigcode-project/bigcodebench.git /bigcodebench
-
-#RUN cd /bigcodebench
-
-# Pre-install the dataset
-#RUN python3 -c "from bigcodebench.data import get_bigcodebench; get_bigcodebench()"
+# RUN cd /bigcodebench
+# RUN python3 -c "from bigcodebench.data import get_bigcodebench; get_bigcodebench()"
 
 RUN pip install fastapi gunicorn uvicorn[standard] httpx pydantic==2.* 
 
 RUN pip install -I --timeout 2000 -r https://github.com/bigcode-project/bigcodebench-annotation/releases/download/v0.1.0/requirements.txt
 
+# Add a new user "bigcodebenchuser"
+RUN adduser --disabled-password --gecos "" bigcodebenchuser
+
 COPY . .
 
+WORKDIR /
+
 # For matplotlib import caching in reliability guard
-RUN mkdir -p /cache/matplotlib
-ENV MPLCONFIGDIR=/cache/matplotlib
+RUN mkdir -p /api/cache/matplotlib
+ENV MPLCONFIGDIR=/api/cache/matplotlib
 
-WORKDIR /
+RUN chmod -R 777 /api
+
+RUN chown -R bigcodebenchuser:bigcodebenchuser /api
 
+USER bigcodebenchuser
 # Start the FastAPI app on port 7860, the default port expected by Spaces
 # CMD ["uvicorn", "api.app:app", "--host", "0.0.0.0", "--port", "7860"]
 # ENTRYPOINT [ "./dev.sh" ]