# Use a lightweight Python image as the base image
FROM python:3.12-slim

# Set the working directory inside the container
WORKDIR /app

# Copy the requirements file into the container
COPY requirements.txt .

# Install the dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Copy the application code into the container
COPY app.py .
COPY superkart_regression_model_v1.0.joblib . 
COPY scaler.joblib . 
COPY mrp_bins.joblib .
COPY training_columns.joblib .

# Expose the port the Flask app will run on
EXPOSE 7860

# Command to run the Flask application using Gunicorn
CMD ["gunicorn", "--bind", "0.0.0.0:7860", "app:superkart_sales_predictor_api"]