provide context for .toml

Dockerfile

@@ -41,6 +41,7 @@ COPY visual_rag/ ./visual_rag/
 COPY benchmarks/ ./benchmarks/
 COPY demo/ ./demo/
 COPY pyproject.toml ./
+COPY README.md ./
 
 # Install the package in editable mode
 RUN pip3 install -e .
@@ -67,4 +68,4 @@ EXPOSE 7860
 RUN python3 -c "import torch; print('CUDA available:', torch.cuda.is_available())" || true
 
 # Run Streamlit app
-ENTRYPOINT ["streamlit", "run", "demo/app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.headless", "true"]
+ENTRYPOINT ["streamlit", "run", "demo/app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.headless", "true"]