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dockerfile
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# Use a multi-stage build to reduce final image size
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# Start with a builder image
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FROM python:3.10-slim as builder
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# Set a working directory
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WORKDIR /app
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# Install dependencies in a virtual environment to make it easier to copy only what we need later
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RUN python -m venv /venv
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ENV PATH="/venv/bin:$PATH"
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# Copy only requirements.txt initially to leverage Docker cache
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Continue with the final base image
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FROM tiangolo/uvicorn-gunicorn-fastapi:python3.10-slim
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# Install curl
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RUN apt-get update && apt-get install -y curl && rm -rf /var/lib/apt/lists/*
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# Copy the virtual environment from the builder stage
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COPY --from=builder /venv /venv
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ENV PATH="/venv/bin:$PATH"
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# Set working directory
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WORKDIR /app
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# Copy the rest of the application from the current directory to /app inside the container
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COPY . .
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# Expose port 80 to the outside world
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EXPOSE 80
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# Command to run the Uvicorn server using check_health.sh to wait for the model_server
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80","--log-level","debug"]
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