Fixing some typos and trailing spaces

Dockerfile

@@ -8,8 +8,8 @@ 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 disable 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
@@ -43,8 +43,8 @@ FROM heartexlabs/label-studio:hf-latest
 # ENV POSTGRE_PORT=<db_port>
 # ENV POSTGRE_USER=<postgres_user>
 # ENV POSTGRE_PASSWORD=<password>
-# ENV POSTGRE_PORT=<db_port> 
-# ENV POSTGRE_HOST=<db_host> 
+# ENV POSTGRE_PORT=<db_port>
+# ENV POSTGRE_HOST=<db_host>
 #
 # Uncomment the following line to remove the warning about ephemeral storage
 #
@@ -55,7 +55,7 @@ FROM heartexlabs/label-studio:hf-latest
 #
 ################################################################################
 
-# Wrap Label Studio to set the space hostname and pass through arguments 
+# Wrap Label Studio to set the space hostname and pass through arguments
 RUN echo "export LABEL_STUDIO_HOST=\$SPACE_HOST; echo 'starting label studio'; label-studio \$@" > start.sh
 RUN chmod +x /label-studio/start.sh
 

README.md

@@ -1,7 +1,7 @@
 ---
 title: LabelStudio
 emoji: 🟧
-colorFrom: yellow
+colorFrom: grey
 colorTo: yellow
 sdk: docker
 pinned: true
@@ -19,7 +19,7 @@ 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
+## 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
@@ -27,23 +27,25 @@ 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
+## 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
+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.
+annotations. Without any modifications, treat this space like a demo environment.** 
 
-### Creating a Labeling Project
+## 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.
+**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
+## Next Steps and Additional Resources
 
 To help with getting started, the Label Studio community curated a list of
 resources including tutorials and documentation.
@@ -60,7 +62,7 @@ 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
+### Configuring Label Studio Spaces for Secure Use
 
 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