Dockerfile

# Lightweight Python base image
FROM python:3.10-slim

# Set the working directory inside the container
WORKDIR /app

# Copy dependency file first (leverages Docker layer caching)
COPY requirements.txt .

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

# Copy the rest of the backend files (app.py, superkart_model.joblib)
COPY . .

# Expose the port Flask/gunicorn will run on
EXPOSE 7860

# Start the Flask API using gunicorn (production-ready WSGI server)
CMD ["gunicorn", "--bind", "0.0.0.0:7860", "app:superkart_api"]