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Deploy Lighthouse Streamlit app (docker space) (#1)

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# Lighthouse — self-contained sandbox image (also used by the HuggingFace Docker Space).
# Runs the Streamlit demo on CPU. For the full 100K rank, use rank.py (see README).
FROM python:3.10-slim

WORKDIR /app

# CPU-only torch first (kept out of the CUDA default to keep the image small)
RUN pip install --no-cache-dir torch==2.5.1 --index-url https://download.pytorch.org/whl/cpu

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY . .

# HuggingFace Spaces expects the app on 7860
ENV PORT=7860
EXPOSE 7860
CMD ["streamlit", "run", "app/app.py", "--server.port=7860", "--server.address=0.0.0.0"]

	# Lighthouse — self-contained sandbox image (also used by the HuggingFace Docker Space).
	# Runs the Streamlit demo on CPU. For the full 100K rank, use rank.py (see README).
	FROM python:3.10-slim

	WORKDIR /app

	# CPU-only torch first (kept out of the CUDA default to keep the image small)
	RUN pip install --no-cache-dir torch==2.5.1 --index-url https://download.pytorch.org/whl/cpu

	COPY requirements.txt .
	RUN pip install --no-cache-dir -r requirements.txt

	COPY . .

	# HuggingFace Spaces expects the app on 7860
	ENV PORT=7860
	EXPOSE 7860
	CMD ["streamlit", "run", "app/app.py", "--server.port=7860", "--server.address=0.0.0.0"]