Dockerfile

# Use a lightweight Python image
FROM python:3.9-slim

# Set the working directory
WORKDIR /app

# Copy the requirements file and install dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy the application code and the trained model
COPY app.py .
COPY best_sales_forecasting_model.pkl .

# Expose the port the app runs on
EXPOSE 5000

# Command to run the application
CMD ["flask", "run", "--host=0.0.0.0", "--port=5000"]