Installation & setup

This app requires FFmpeg and Node.js version 14 or higher.

The app can be run locally by cloning and installing packages with npm or on Docker.

npm
To setup with npm, install dependencies and run the app:

cd rtms-mock-server-sample

# Install dependencies
npm install

# Start the server
npm start

Docker
To setup with Docker, run the following:

cd rtms-mock-server-sample

# Option 1: Using docker-compose (recommended)
docker-compose up -d

# Option 2: Manual docker commands

# Build Docker image
docker build -t rtms-mock-server .

# Run the container
docker run -d \
  -p 9092:9092 \
  -p 8081:8081 \
  -v $(pwd)/data:/app/data \
  --name rtms-mock-server \
  rtms-mock-server

# View logs
docker logs -f rtms-mock-server

To stop the container:

docker stop rtms-mock-server

To restart the container:

docker start rtms-mock-server

Using the sample client

Start the server (npm or Docker) and open the mock server at http://localhost:9092. The sample client at ./client can now be used to consume media from the mock server.

In a new terminal, run the sample client:

node client/server.js

This opens up a server at localhost:8000. For webhook validation, the client will need to be exposed to the internet with a tunnel, like ngrok.

ngrok http 8000

The ngrok URL will be used to validate the webhook endpoint. Copy your URL and paste it into the webhook URL field on the mock server (http://localhost:9092). Click validate. In the RTMS server and client you'll see confirmation of the validation.

You can now start a meeting and start streaming media to the client.

To run the backend

Delete the current index from the indexes folder

run

python3 reset_everything.py

comment out this line in the app.py:

RAG = model_manager.get_model(device="mps")

and uncomment these

RAG = RAGMultiModalModel.from_pretrained(pretrained_model_name_or_path="/Users/yahiasalman/Desktop/RetainAll/RetainBackend/app/models/colqwen2-v1.0", index_root="./index", device="mps")
RAG.index(input_path="./saved_frame.jpg", index_name="TreeIndex", store_collection_with_index=True, overwrite=True)

and run

python3 app.py

then you can run

./start.sh

and the server should start running on port 8010

Make sure that you have redis and celery installed!