Update meta info with forum link (#492)

Author: pvk-developer

CONTRIBUTING.rst

@@ -21,4 +21,4 @@ We appreciate your understanding.
 
 
 .. _Business Source License: https://github.com/sdv-dev/CTGAN/blob/main/LICENSE
-.. _file an issue: https://github.com/sdv-dev/CTGAN/issues
+.. _file an issue: https://forum.datacebo.com/

README.md

@@ -9,6 +9,7 @@
 [![Unit Tests](https://github.com/sdv-dev/CTGAN/actions/workflows/unit.yml/badge.svg)](https://github.com/sdv-dev/CTGAN/actions/workflows/unit.yml)
 [![Downloads](https://pepy.tech/badge/ctgan)](https://pepy.tech/project/ctgan)
 [![Coverage Status](https://codecov.io/gh/sdv-dev/CTGAN/branch/main/graph/badge.svg)](https://codecov.io/gh/sdv-dev/CTGAN)
+[![Forum](https://img.shields.io/badge/Forum-Join%20now!-36C5F0)](https://forum.datacebo.com)
 
 <div align="left">
 <br/>
@@ -25,23 +26,22 @@
 
 CTGAN is a collection of Deep Learning based synthetic data generators for single table data, which are able to learn from real data and generate synthetic data with high fidelity.
 
-| Important Links                               |                                                                      |
-| --------------------------------------------- | -------------------------------------------------------------------- |
+| Important Links                               |                                                                                           |
+| --------------------------------------------- | ------------------------------------------------------------------------------------------|
 | :computer: **[Website]**                      | Check out the SDV Website for more information about our overall synthetic data ecosystem.|
-| :orange_book: **[Blog]**                      | A deeper look at open source, synthetic data creation and evaluation.|
-| :book: **[Documentation]**                    | Quickstarts, User and Development Guides, and API Reference.         |
-| :octocat: **[Repository]**                    | The link to the Github Repository of this library.                   |
-| :keyboard: **[Development Status]**           | This software is in its Pre-Alpha stage.                             |
-| [![][Slack Logo] **Community**][Community]    | Join our Slack Workspace for announcements and discussions.          |
+| :orange_book: **[Blog]**                      | A deeper look at open source, synthetic data creation and evaluation.                     |
+| :book: **[Documentation]**                    | Quickstarts, User and Development Guides, and API Reference.                              |
+| :octocat: **[Repository]**                    | The link to the Github Repository of this library.                                        |
+| :keyboard: **[Development Status]**           | This software is in its Pre-Alpha stage.                                                  |
+| :busts_in_silhouette: **[DataCebo Forum]**    | Discuss CTGAN features, ask questions, and receive help.                                  |
 
 [Website]: https://sdv.dev
 [Blog]: https://datacebo.com/blog
 [Documentation]: https://bit.ly/sdv-docs
 [Repository]: https://github.com/sdv-dev/CTGAN
 [License]: https://github.com/sdv-dev/CTGAN/blob/main/LICENSE
 [Development Status]: https://pypi.org/search/?c=Development+Status+%3A%3A+2+-+Pre-Alpha
-[Slack Logo]: https://github.com/sdv-dev/SDV/blob/stable/docs/images/slack.png
-[Community]: https://bit.ly/sdv-slack-invite
+[DataCebo Forum]: https://forum.datacebo.com
 
 Currently, this library implements the **CTGAN** and **TVAE** models described in the [Modeling Tabular data using Conditional GAN](https://arxiv.org/abs/1907.00503) paper, presented at the 2019 NeurIPS conference.
 
@@ -111,7 +111,7 @@ Irvine, CA: University of California, School of Information and Computer Science
 
 # Join our community
 
-Join our [Slack channel](https://bit.ly/sdv-slack-invite) to discuss more about CTGAN and synthetic data. If you find a bug or have a feature request, you can also [open an issue](https://github.com/sdv-dev/CTGAN/issues) on our GitHub.
+Join our [forum](https://forum.datacebo.com/) to discuss more about CTGAN, ask questions, and receive help.
 
 **Interested in contributing to CTGAN?** Read our [Contribution Guide](CONTRIBUTING.rst) to get started.
 

pyproject.toml

@@ -47,7 +47,7 @@ dependencies = [
 "Issue Tracker" = "https://github.com/sdv-dev/CTGAN/issues"
 "Changes" = "https://github.com/sdv-dev/CTGAN/blob/main/HISTORY.md"
 "Twitter" = "https://twitter.com/sdv_dev"
-"Chat" = "https://bit.ly/sdv-slack-invite"
+"Chat" = "https://forum.datacebo.com/"
 
 [project.entry-points]
 ctgan = { main = 'ctgan.cli.__main__:main' }