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Update Dockerfile
Browse files- Dockerfile +35 -10
Dockerfile
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FROM python:3.9-slim
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WORKDIR /app
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# Copy the requirements file
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COPY requirements.txt .
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# Install the
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RUN
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RUN pip install opencv-python-headless
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COPY . .
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EXPOSE 7860
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# Start with a slim and secure Python base image
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FROM python:3.9-slim
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# --- Environment Variables ---
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# Prevents Python from writing .pyc files to disc
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ENV PYTHONDONTWRITEBYTECODE 1
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# Ensures Python output is sent straight to the terminal without buffering
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ENV PYTHONUNBUFFERED 1
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# Set the MPLCONFIGDIR to a writable directory to avoid matplotlib warnings
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ENV MPLCONFIGDIR /tmp/matplotlib
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# --- System Dependencies ---
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# First, update the package lists and install system libraries required by OpenCV.
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# Combining these into a single RUN layer reduces image size.
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# libglib2.0-0 is essential to fix the "libgthread-2.0.so.0" error.
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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libgl1-mesa-glx \
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libglib2.0-0 && \
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# Clean up the apt cache to reduce image size
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rm -rf /var/lib/apt/lists/*
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# --- Python Dependencies ---
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# Set the working directory
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WORKDIR /app
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# Copy only the requirements file first to leverage Docker's layer caching.
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# This layer will only be re-run if requirements.txt changes.
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COPY requirements.txt .
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# Install Python dependencies from the requirements file.
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# --no-cache-dir reduces image size.
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RUN pip install --no-cache-dir -r requirements.txt
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# --- Application Code ---
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# Now, copy the rest of the application code into the container.
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# This layer will be rebuilt on code changes, but the dependencies above will not.
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COPY . .
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# --- Port and Command ---
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# Expose the port the application will run on
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EXPOSE 7860
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# The command to run the application
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# Using a list format is the recommended way to write CMD
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CMD ["uvicorn", "predict:app", "--host", "0.0.0.0", "--port", "7860"]
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