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Deploying NetMedEx

NetMedEx is container-ready and can be easily deployed using Docker.

Prerequisites

  • Docker installed on your host machine.
  • OpenAI API Key (for RAG/Semantic features).

1. Building the Docker Image

Run the following command in the project root directory:

docker build -t netmedex:v0.9.5 .

2. Running the Container

To run the application, you need to provide your OpenAI API key as an environment variable (or use a local LLM).

docker run -d \
  -p 8050:8050 \
  -e OPENAI_API_KEY="your-api-key-here" \
  --name netmedex-app \
  netmedex:v0.9.5

Important

Access the Application: Once the container is running, open your browser and go to: http://localhost:8050

Configuration

You can customize the deployment using environment variables:

  • PORT: Internal port (default: 8050)
  • workers: Number of Gunicorn workers (default: 2, modify in Dockerfile CMD)
  • threads: Threads per worker (default: 4, modify in Dockerfile CMD)

Production Notes

  • The Docker image uses Gunicorn as a production-grade WSGI server.
  • The base image is python:3.11-slim-bookworm for a small footprint.