Merge pull request #678 from rushtehrani/docs/readme

docs: Update README

README.md

@@ -9,57 +9,34 @@
 [![chat](https://img.shields.io/badge/support-slack-01579b)](https://onepanel-ce.slack.com/join/shared_invite/zt-eyjnwec0-nLaHhjif9Y~gA05KuX6AUg#/)
 [![license](https://img.shields.io/github/license/onepanelio/core?color=01579b)](https://opensource.org/licenses/Apache-2.0)
 
-Production scale, Kubernetes-native vision AI platform, with fully integrated components for model building, automated labeling, data processing and model training pipelines.
+Production scale, vision AI platform, with fully integrated components for model building, automated labeling, data processing and model training pipelines.
+
+<img width="100%" src="img/onepanel.gif">
 
 ## Why Onepanel?
 
--  End-to-end workflow and infrastructure automation for production scale vision AI
--  Automatic resource management and on-demand scaling of CPU and GPU nodes
--  Easily scale your data processing and training pipelines to multiple nodes
--  Collaborate on all your deep learning tools and workflows through a unified web interface and SDKs
+-  End-to-end automation for production scale vision AI pipelines
+-  Best of breed, open source deep learning tools seamlessly integrated in one unified platform
+-  Infrastructure automation so you can easily scale your data processing and training pipelines to multiple nodes
+-  Customizable, reproducible and version controlled tooling and pipeline templates
 -  Scalability, flexibility and resiliency of Kubernetes without the deployment and configuration complexities
 
 ## Features
-<table>
-  <tr>
-    <td width="50%" align="center">
-      <h3>Image and video annotation with automatic annotation</h3>
-      <img width="100%" src="img/auto-annotation.gif">
-      <p>
-        Annotate images and video with automatic annotation of bounding boxes and polygon masks, integrated with training pipelines to iteratively improve models for pre-annotation and inference
-      </p>
-    </td>
-    <td width="50%" align="center">
-      <h3>JupyterLab with TensorFlow, PyTorch and GPU support</h3>
-      <img width="100%" src="img/jupyterlab.gif">
-      <p>
-        JupyterLab configured with extensions for debugging, Git/GitHub, notebook diffing and TensorBoard and support for Conda, OpenCV, Tensorflow and PyTorch with GPU and <a href="https://github.com/onepanelio/templates/tree/master/workspaces/jupyterlab">much more</a>
-      </p>
-    </td>
-  </tr>
-  <tr>
-    <td width="50%" align="center">
-      <h3>Auto scaling, distributed and parallel data processing and training pipelines</h3>
-      <img width="100%" src="img/pipelines.gif">
-      <p>
-        Build fully reproducible, distributed and parallel data processing and training pipelines with real-time logs and output snapshots
-      </p>
-    </td>
-    <td width="50%" align="center">
-      <h3>Version controlled pipelines and environments as code</h3>
-      <img width="100%" src="img/tools.gif">
-      <p>
-        Bring your own IDEs, annotation tools and pipelines with a version controlled YAML and Docker based template engine
-      </p>
-    </td>
-  </tr>
-</table>
-
+-  Annotate images and video with automatic annotation of bounding boxes and polygon masks, integrated with training pipelines to iteratively improve models for pre-annotation and inference.
+-  JupyterLab configured with extensions for debugging, Git/GitHub, notebook diffing and TensorBoard and support for Conda, OpenCV, Tensorflow and PyTorch with GPU and <a href="https://github.com/onepanelio/templates/tree/master/workspaces/jupyterlab">much more</a>.
+-  Build fully reproducible, distributed and parallel data processing and training pipelines with real-time logs and output snapshots.
+-  Bring your own IDEs, annotation tools and pipelines with a version controlled YAML and Docker based template engine.
 -  Track and visualize model metrics and experiments with TensorBoard or bring your own experiment tracking tools.
--  Access and share tools like AirSim, Carla, Gazebo or OpenAI Gym through your browser with VNC enabled workspaces.
--  Extend Onepanel with powerful REST APIs and SDKs to further automate your pipelines and environments.
--  Workflows, environments and infrastructure are all defined as code and version controlled, making them reproducible and portable.
--  Powered by Kubernetes so you can deploy anywhere Kubernetes can run.
+-  Extend Onepanel with powerful REST APIs and SDKs to further automate your workflows.
+
+## Online demo
+We have created an [online demo environment](https://onepanel.typeform.com/to/kQfDX5Vf?product=github) so that you can quickly try Onepanel.
+
+Note that this is a shared demo environment with the following restrictions:
+
+- Data is reset every few hours
+- One type of node pool (machine type) with a limit of 5 concurrent nodes
+- Certain actions may be restricted
 
 ## Quick start
 See [quick start guide](https://docs.onepanel.ai/docs/getting-started/quickstart) to get started with the platform of your choice.
@@ -74,17 +51,17 @@ See [documentation](https://docs.onepanel.ai) to get started or for more detaile
 
 To submit a feature request, report a bug or documentation issue, please open a GitHub [pull request](https://github.com/onepanelio/core/pulls) or [issue](https://github.com/onepanelio/core/issues).
 
-For help, questions, release announcements and contribution discussions, join us on [Slack](https://join.slack.com/t/onepanel-ce/shared_invite/zt-eyjnwec0-nLaHhjif9Y~gA05KuX6AUg).
+For help, questions, release announcements and contribution discussions, join us on [GitHub discussions](https://github.com/onepanelio/core/discussions).
 
 ## Contributing
 
 Onepanel is modular and consists of the following repositories:
 
-[Core API](https://github.com/onepanelio/core/) (this repository) - Code base for backend (Go)\
-[Core UI](https://github.com/onepanelio/core-ui/) - Code base for UI (Angular + TypeScript)\
-[CLI](https://github.com/onepanelio/cli/) - Code base for Go CLI for installation and management (Go)\
-[Manifests](https://github.com/onepanelio/core-ui/) - Kustomize manifests used by CLI for installation and management (YAML)\
-[Python SDK](https://github.com/onepanelio/python-sdk/) - Python SDK code and documentation\
+[Backend](https://github.com/onepanelio/core/) (this repository) - Code base for backend (Go)\
+[Frontend](https://github.com/onepanelio/core-ui/) - Code base for frontend (Angular + TypeScript)\
+[CLI](https://github.com/onepanelio/cli/) - Code base for installation and management CLI (Go)\
+[Manifests](https://github.com/onepanelio/core-ui/) - Kustomize manifests used by installation and management CLI (YAML)\
+[Python SDK](https://github.com/onepanelio/python-sdk/) - Python SDK code and documentation (Python)\
 [Templates](https://github.com/onepanelio/templates) - Various Workspace, Workflow, Task and Sidecar Templates\
 [Documentation](https://github.com/onepanelio/core-docs/) - The repository for documentation site\
 [API Documentation](https://github.com/onepanelio/core-api-docs/) - API documentation if you choose to use the API directly