EnginePredictionModel / DockerFile
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# Use a slim Python base image
FROM python:3.9-slim
# Set the working directory in the container
WORKDIR /app
# Copy the requirements file and install dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy the application file
COPY app.py .
# Expose the port
EXPOSE 8501
# Command to run the Streamlit application
CMD ["streamlit", "run", "app.py", "--server.port", "8501", "--server.enableCORS", "false", "--server.enableXsrfProtection", "false"]