| # Running Burr in a web server |
| |
| We're working on fleshing out this demo, but we have an example to get started with. |
| |
| You can play around with this example by running the `burr` command after running `pip install`. |
| Then navigate to [examples/chatbot](http://localhost:7241/demos/chatbot) in your browser (it will open up). |
| |
| ```bash |
| pip install burr[start] |
| burr |
| ``` |
| |
| You'll see the telemetry on the right and the chatbot on the left. |
| |
| ## General strategy |
| |
| The general approach for a read/write app (say, a chatbot) is as follows: |
| 1. Instantiate a burr application using the builder whenever you need it, loading the state from your persistence layer |
| 2. Use the burr application object to handle incoming requests |
| 3. Return the full state result from the burr application object to the client |
| 4. Render that on the frontend |
| |
| This way you can keep the frontend simple (just render burr's state), and keep the backend simple (delegate |
| loading/persistence/logic to burr). Then you can view in telemetry. |
| |
| ## Code |
| |
| To see the code, you'll want to open the following: |
| |
| - [application file](../multi-modal-chatbot/application.py) - The main application file. This defines the Burr logic |
| - [fastAPI app](../../tracking/server/examples/chatbot.py) - The server file. This defines the FastAPI app |
| |
| You can see that the server file defines a rounter which gets imported by the main server file -- this |
| allows us to reuse this in the demo. We'll be updating this with a self-contained copy/paste example shortly, stay tuned! |
