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FROM python:3.9-slim
# Set the working directory in the container
WORKDIR /app
# Copy the current directory contents into the container at /app
COPY . /app
# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
# Make port 5000 available to the world outside this container
EXPOSE 5000
# Run train.py to train the model
RUN python model_train.py
# Run inference.py to generate model predictions
RUN python inference.py
# Define environment variable
ENV FLASK_APP=app.py
# Run app.py when the container launches
CMD ["flask", "run", "--host=0.0.0.0"]