Try fixing TRANSFORMER_CACHE issue #2

Try this suggestion:

https://huggingface.co/docs/hub/spaces-sdks-docker#permissionshttps://huggingface.co/docs/hub/spaces-sdks-docker#permissions

Dockerfile

@@ -2,20 +2,29 @@ FROM pytorch/pytorch:latest
 
 RUN apt update && apt install -y && rm -rf /var/lib/apt/lists/*
 
-COPY requirements.txt .
+# Set up a new user named "user" with user ID 1000
+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
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+COPY --chown=user requirements.txt .
 RUN python3 -m pip install -r requirements.txt
 
-COPY setup.py VERSION .
-COPY src ./src
+COPY --chown=user setup.py VERSION .
+COPY --chown=user src ./src
 RUN python3 -m pip install .
 
-COPY "demo.py" .
+COPY --chown=user "demo.py" .
 EXPOSE 7860 8080
-COPY start.sh .
+COPY --chown=user start.sh .
 RUN chmod +x start.sh
 
-RUN chmod 777 /workspace
-RUN mkdir -p /workspace/.cache/huggingface/hub
-ENV TRANSFORMERS_CACHE=/workspace/.cache/huggingface/hub
-
 CMD ["./start.sh"]