interview-ai-detector / Dockerfile
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feat: github workflows action
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# Use an official Python runtime as a base image
FROM python:3.12-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 8080 available to the world outside this container
EXPOSE 8080
# Run gunicorn with Uvicorn workers
CMD ["gunicorn", "-k", "uvicorn.workers.UvicornWorker", "-w", "4", "-b", "0.0.0.0:8080", "prediction:app"]