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Update documentation. Ready to deploy

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@@ -16,4 +16,13 @@ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-
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  Uses Tesseract to perform OCR on any image supplied as an input. The text identified in the image is then through a Flair Named Entity Recognition (NER) model, the output of which is returned to the page.
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- This is a prototype produced for a project at the State Library Victoria in Melbourne, Australia.
 
 
 
 
 
 
 
 
 
 
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  Uses Tesseract to perform OCR on any image supplied as an input. The text identified in the image is then through a Flair Named Entity Recognition (NER) model, the output of which is returned to the page.
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+ This is a prototype produced for a project at the State Library Victoria in Melbourne, Australia.
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+ ## Repository management
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+ Hugging Face is used to host two version of the demo app:
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+ 1. the production version that is linked to the `main` branch of the GitHub repo
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+ 2. a development version which is linked to the most recent branch pushed to GitHub that is **not** `main`
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+ Deployment to Hugging Face is done via GitHub actions.