Added README.md with information on how to get started

Added README.md with information on how to get started, and fixed
typos in the Dockerfile

Dockerfile

@@ -8,13 +8,13 @@ FROM heartexlabs/label-studio:hf-latest
 # will full access to all projects and data. This is great for trying out
 # Label Studio and collaborating on projects, but you may want to restrict
 # access to your space to only authorized users. Uncomment the following line
-# to diable public account creation for this space. 
+# to disable public account creation for this space. 
 # 
 # ENV LABEL_STUDIO_DISABLE_SIGNUP_WITHOUT_LINK=true
 #
 # Set secrets in your space to create an inital user, and log in with your
 # provided username and password. Do not set these in your Dockerfile, as they
-# globall visible on a public space.
+# globally visible on a public space.
 #
 # LABEL_STUDIO_USERNAME
 # LABEL_STUDIO_PASSWORD

README.md

@@ -1,11 +1,115 @@
 ---
 title: LabelStudio
-emoji: 📚
+emoji: 🟧
 colorFrom: yellow
 colorTo: yellow
 sdk: docker
-pinned: false
+pinned: true
 license: apache-2.0
 ---
+<img src="https://user-images.githubusercontent.com/12534576/192582340-4c9e4401-1fe6-4dbb-95bb-fdbba5493f61.png"/>
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+[Website](https://hubs.ly/Q01CNgsd0) • [Docs](https://hubs.ly/Q01CN9Yq0) • [12K+ GitHub ⭐️!](https://hubs.ly/Q01CNbPQ0) • [Slack Community](https://hubs.ly/Q01CNb9H0)
+
+## What is Label Studio?
+
+Label Studio is an open source data labeling platform. It lets you label audio,
+text, images, videos, and time series data with a simple, straightforward, and
+highly-configurable user interface. Label Studio can prepare new data or
+improve existing training data to get more accurate ML models.
+
+
+## Getting Started With Label Studio in Hugging Face Spaces
+
+The Label Studio community is thrilled to offer Label Studio as a Hugging Face
+Spaces application. You can try the data-annotation interface, connect popular
+machine learning models, and share the application with collaborators. You can
+start immediately by creating an account or replicate the space and work in
+your own environment.
+
+### Creating a Use Account and Logging In
+
+Begin by creating a new account in the Label Studio space, then log in with your
+credentials. By default, these spaces permit anyone to create a new login
+account, allowing them to view and modify project configuration, data sets, and
+annotations. Without any modifications, treat this space like a demo environment.
+
+### Creating a Labeling Project
+
+After logging in, Label Studio will present you with a project view. Here you
+can create a new project with prompts to upload data and set up a custom
+configuration interface.
+
+Note that in the default configuration, storage is local and temporary. Any
+projects, annotations, and configurations will be lost if the space is restarted.
+
+### Next Steps and Additional Resources
+
+To help with getting started, the Label Studio community curated a list of
+resources including tutorials and documentation.
+
+- 🚀 [Zero to One with Label Studio Tutorial](https://hubs.ly/Q01CN93R0)
+- 📈 [Try Label Studio Enterprise](https://hubs.ly/Q01CMLll0)
+- 🤗 [Tutorial: Using Label Studio with Hugging Face Datasets Hub](https://danielvanstrien.xyz/huggingface/huggingface-datasets/annotation/full%20stack%20deep%20learning%20notes/2022/09/07/label-studio-annotations-hub.html)
+- 💡 [Label Studio Docs](https://hubs.ly/Q01CN9Yq0)
+
+  
+![Gif of Label Studio annotating different types of data](https://raw.githubusercontent.com/heartexlabs/label-studio/master/images/annotation_examples.gif)
+
+Have a custom dataset? You can customize Label Studio to fit your needs. Read
+an [introductory blog post](https://towardsdatascience.com/introducing-label-studio-a-swiss-army-knife-of-data-labeling-140c1be92881)
+to learn more. 
+
+### Configuring Label Studio Spaces as a Production Environment
+
+By default this space allows for the unrestricted creation of new accounts
+will full access to all projects and data. This is great for trying out
+Label Studio and collaborating on projects, but you may want to restrict
+access to your space to only authorized users. Add the following environment
+variable to your spaces Dockerfile to disable public account creation for
+this space. 
+ 
+    ENV LABEL_STUDIO_DISABLE_SIGNUP_WITHOUT_LINK=true
+
+Set secrets in your space to create an inital user, and log in with your
+provided username and password. Do not set these in your Dockerfile, as they
+globally visible on a public space.
+
+    LABEL_STUDIO_USERNAME
+    LABEL_STUDIO_PASSWORD
+
+You will need to provide new users with an invitation link to join the space,
+which can be found in the Organizations interface of Label Studio
+
+By default this space stores all project configuration and data annotations
+in local storage with Sqlite. If the space is reset, all configuration and
+annotation data in the space will be lost. You can enable configuration
+persistence by connecting an external Postgres database to your space,
+guaranteeing that all project and annotation settings are preserved.
+
+Set the following secret variables to match your own hosted instance of
+Postgres. We strongly recommend setting these as secrets to prevent leaking
+information about your database service to the public in your spaces
+definition.
+
+    ENV DJANGO_DB=default
+    ENV POSTGRE_NAME=<postgres_name>
+    ENV POSTGRE_PORT=<db_port>
+    ENV POSTGRE_USER=<postgres_user>
+    ENV POSTGRE_PASSWORD=<password>
+    ENV POSTGRE_PORT=<db_port>
+    ENV POSTGRE_HOST=<db_host>
+
+Add the following environment variable to remove the warning about ephemeral
+storage.
+
+    ENV STORAGE_PERSISTENCE=1
+
+Note that you will need to connect cloud storage to host data items that you
+want to annotate, as local storage will not be preserved across a space reset.
+
+## Questions? Concerns? Want to get involved? 
+
+Email the community team at [community@labelstud.io](mailto:community@labelstud.io)
+
+</body>