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1.46 kB
| # Hugging Face Spaces / Docker deployment for the Streamlit comparison app. | |
| # Uses Ollama for the OSS model (no torch/transformers in the image). | |
| # | |
| # Build from repo root: | |
| # docker build -f deployment/Dockerfile -t ai-assistant-comparison . | |
| # | |
| # Hugging Face Spaces: root Dockerfile is a symlink to this file. | |
| FROM python:3.11-slim | |
| ENV DEBIAN_FRONTEND=noninteractive \ | |
| OLLAMA_HOST=http://127.0.0.1:11434 \ | |
| OSS_BACKEND=ollama \ | |
| OSS_MODEL=qwen2.5:1.5b \ | |
| FRONTIER_BACKEND=openai \ | |
| FRONTIER_MODEL=llama-3.1-8b-instant \ | |
| MAX_EXCHANGES=8 \ | |
| STREAMLIT_SERVER_PORT=7860 \ | |
| STREAMLIT_SERVER_ADDRESS=0.0.0.0 \ | |
| STREAMLIT_SERVER_HEADLESS=true \ | |
| STREAMLIT_BROWSER_GATHER_USAGE_STATS=false | |
| WORKDIR /app | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| ca-certificates \ | |
| curl \ | |
| procps \ | |
| zstd \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Install Ollama. The model is pulled at container startup so the image stays small. | |
| RUN curl -fsSL https://ollama.com/install.sh | sh | |
| COPY requirements.txt ./requirements.txt | |
| RUN pip install --no-cache-dir --upgrade pip \ | |
| && pip install --no-cache-dir -r requirements.txt | |
| COPY . . | |
| RUN chmod +x deployment/start_space.sh \ | |
| && mkdir -p logs evals/results screenshots | |
| EXPOSE 7860 | |
| HEALTHCHECK --interval=30s --timeout=10s --start-period=300s --retries=5 \ | |
| CMD curl -f http://localhost:7860/_stcore/health || exit 1 | |
| CMD ["deployment/start_space.sh"] | |