Update Dockerfile
Browse files- Dockerfile +22 -10
Dockerfile
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@@ -2,10 +2,11 @@ FROM python:3.10-slim
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WORKDIR /code
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# Install
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RUN apt-get update && apt-get install -y \
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build-essential \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements first for better caching
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@@ -14,18 +15,29 @@ COPY requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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#
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COPY app.py .
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#
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# RUN pip install huggingface-hub && \
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# python -c "from huggingface_hub import hf_hub_download; \
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# hf_hub_download(repo_id='bartowski/Phi-3.1-mini-4k-instruct-GGUF', \
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# filename='Phi-3.1-mini-4k-instruct-IQ2_M.gguf', local_dir='/code')"
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# Expose port
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EXPOSE 7860
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# Run the app
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]
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WORKDIR /code
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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build-essential \
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curl \
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git \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements first for better caching
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Download model during build (optional - can also download at runtime)
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ARG HF_TOKEN=""
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RUN if [ -n "$HF_TOKEN" ]; then \
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python -c "from huggingface_hub import hf_hub_download; \
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hf_hub_download(repo_id='bartowski/Phi-3.1-mini-4k-instruct-GGUF', \
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filename='Phi-3.1-mini-4k-instruct-IQ2_M.gguf', \
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local_dir='/code', token='$HF_TOKEN')"; \
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else \
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echo "HF_TOKEN not provided, model will download at runtime"; \
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fi
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# Copy application code
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COPY app.py .
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# Create a directory for models if it doesn't exist
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RUN mkdir -p /code
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# Expose port (Hugging Face Spaces uses 7860)
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EXPOSE 7860
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# Health check
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HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:7860/health || exit 1
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# Run the app
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]
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