Update README.md

Author: dbirman

README.md

@@ -11,40 +11,10 @@ Create a virtual environment and install the package, then launch panel.
 python -m venv .venv
 source .venv/bin/activate (or .venv/bin/Scripts/activate on Windows)
 pip install -e .
-panel serve ./src/aind_metadata_viz/app.py --show
+panel serve ./src/aind_metadata_viz/app.py --show --autoreload
 ```
 
-## Release
-
-We directly expose the process/port on the internal AI network. To update and restart:
-
-To update build
-```
-ssh ibs-davidf-vm2
-cd aind-metadata-viz
-git pull
-```
-
-To restart
-```
-ps aux | grep panel
-kill pid
-./start_viz.sh
-```
-
-`start_viz.sh` is:
-```
-#!/bin/bash -x
-
-cd ~/aind-metadata-viz
-
-source .venv/bin/activate
-pip install -e .
-
-nohup panel serve ./src/aind_metadata_viz/app.py --allow-websocket-origin=10.128.141.92:5006 > ~/logfile.log 2>&1 &
-```
-
-The process (should) auto-restart on reboot. See `crontab -e`
+To launch the `query` and `view` apps replace the `app.py` with the appropriate launcher.
 
 ## CI/CD
 There is a `Dockerfile` which includes the entrypoint to launch the app.
@@ -59,4 +29,4 @@ docker run -e ALLOW_WEBSOCKET_ORIGIN=localhost:8000 -p 8000:8000 aind-metadata-v
 
 ### AWS
 1. On pushes to the `dev` or `main` branch, a GitHub Action will run to publish a Docker image to `ghcr.io/allenneuraldynamics/aind-metadata-viz:dev` or `ghcr.io/allenneuraldynamics/aind-metadata-viz:latest`.
-2. The image can be used by a ECS Service in AWS to run a task container. Application Load Balancer can be used to serve the container from ECS. Please note that the task must be configured with the correct env variables (e.g. `API_GATEWAY_HOST`, `ALLOW_WEBSOCKET_ORIGIN`).
+2. The image can be used by a ECS Service in AWS to run a task container. Application Load Balancer can be used to serve the container from ECS. Please note that the task must be configured with the correct env variables (e.g. `API_GATEWAY_HOST`, `ALLOW_WEBSOCKET_ORIGIN`).