Update CHANGELOG, README.md and setup.py for 0.3.0 release.

CHANGELOG.md

@@ -33,6 +33,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 - Fixed bug related to invoking a chain with multiple output keys.
 - Fixed bug related to tracking the output stats.
+- #51: Bug fix - avoid str concat with None when logging user_intent.
+- #54: Fix UTF-8 encoding issue and add embedding model configuration.
 
 ## [0.2.0] - 2023-05-31
 

README.md

@@ -9,7 +9,7 @@
 
 **LATEST RELEASE: You are currently on the main branch which tracks
 under-development progress towards the next release. The current release is
-an alpha version, [0.2.0](https://github.com/NVIDIA/NeMo-Guardrails/tree/v0.2.0)**.
+an alpha version, [0.3.0](https://github.com/NVIDIA/NeMo-Guardrails/tree/v0.3.0)**.
 
 > **DISCLAIMER**: The alpha release is undergoing active development and may be subject to changes and improvements, which could potentially cause instability and unexpected behavior. We currently do not recommend deploying this alpha version in a production setting. We appreciate your understanding and contribution during this stage. Your support and feedback is invaluable as we advance toward creating a robust, ready-for-production LLM guardrails toolkit.
 

setup.py

@@ -20,7 +20,7 @@
 
 setup(
  name="nemoguardrails",
- version="0.2.0",
+ version="0.3.0",
  packages=find_packages(),
  author="NVIDIA",
  author_email="[email protected]",
@@ -31,18 +31,7 @@
  Guardrails (or "rails" for short) are specific ways of controlling the output of an LLM,
  e.g., not talking about politics, responding in a particular way to specific user
  requests, following a predefined dialog path, using a particular language style,
- extracting structured data, etc.
-
- Key Benefits:
-
- - Building Trustworthy, Safe and Secure LLM Conversational Systems: The core value of
- using NeMo Guardrails is the ability to write fuzzy rails to steer select conversations.
- Developers can choose to define the behavior of their LLM-powered bots on certain
- topics and keep their creativity un-encumbered for others!
-
- - Connect models, chains, services, and more via actions: LLMs don't need to solve
- all the challenges. NeMo Guardrails provides the ability to connect your codebase or
- services to your chatbot seamlessly and securely!""",
+ extracting structured data, etc.""",
  long_description_content_type="text/markdown",
  url="https://github.com/NVIDIA/NeMo-Guardrails",
  classifiers=[