Merge branch 'feat/modal-marker-demo' of github.com:datalab-to/marker into feat/modal-marker-demo

Author: u-ashish

examples/README_MODAL.md

@@ -4,26 +4,29 @@ This directory contains examples of running `marker` in different contexts.
 
 ### Usage with Modal
 
-We have a [self-contained example](./modal_deployment.py) that shows how you can quickly use [Modal](https://modal.com) to deploy `marker` by provisioning a container with a GPU, and expose that with an API so you can submit PDFs for conversion into Markdown, HTML, or JSON.
+We have a [self-contained example](./marker_modal_deployment.py) that shows how you can quickly use [Modal](https://modal.com) to deploy `marker` by provisioning a container with a GPU, and expose that with an API so you can submit PDFs for conversion into Markdown, HTML, or JSON.
 
 It's a limited example that you can extend into different use cases.
 
 #### Pre-requisites
 
-Make sure you have the `modal` client installed by [following their instructions here](https://modal.com/docs/guide#getting-started)
+Make sure you have the `modal` client installed by [following their instructions here](https://modal.com/docs/guide#getting-started).
+
+Modal's [Starter Plan](https://modal.com/pricing) includes $30 of free compute each month.
+Modal is [serverless](https://arxiv.org/abs/1902.03383), so you only pay for resources when you are using them.
 
 #### Running the example
 
 Once `modal` is configured, you can deploy it to your workspace by running:
 
-> modal deploy marker_modal_deployment.py --env <YOUR_MODEL_ENV>
+> modal deploy marker_modal_deployment.py
 
 Notes:
 - `marker` has a few models it uses. By default, the endpoint will check if these models are loaded and download them if not (first request will be slow). You can avoid this by running
 
-> modal run --env <YOUR_MODAL_ENV> modal_deployment.py::download_models
+> modal run marker_modal_deployment.py::download_models
 
-Which will create a [`Modal Volume`](https://modal.com/docs/reference/modal.Volume) to store them for re-use.
+Which will create a [`Modal Volume`](https://modal.com/docs/guide/Volumes) to store them for re-use.
 
 Once the deploy is finished, you can:
 - Test a file upload locally through your CLI using an `invoke_conversion` command we expose through Modal's [`local_entrypoint`](https://modal.com/docs/reference/modal.App#local_entrypoint)