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| # Use an official Python runtime as a parent image | |
| # Using a slim version to keep the image size smaller | |
| FROM python:3.9-slim | |
| # Set the working directory in the container | |
| WORKDIR /app | |
| # Copy the requirements file into the container at /app | |
| # This is done first to leverage Docker's layer caching | |
| COPY requirements.txt . | |
| # Install any needed packages specified in requirements.txt | |
| # Using --no-cache-dir to reduce image size | |
| # Installs packages from the standard PyPI and also looks in the PyTorch index for torch | |
| RUN pip install --no-cache-dir -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cpu | |
| # Copy the rest of your application's code into the container | |
| # This includes app.py, your trained model (.pth), and the scaler (.pkl) | |
| COPY . . | |
| # Make port 8080 available to the world outside this container | |
| EXPOSE 8080 | |
| # Define the command to run your app | |
| # This command runs when the container launches | |
| CMD ["python", "app.py"] |