Added New tag and html description to LLM AMP

Author: Charu Anchlia

amp-catalog-cloudera-default.yaml

@@ -6,15 +6,25 @@ entries:
     short_description: |
         Build a Retrieval Augmented Generation (RAG) Question-Answer Large
         Language Model (LLM) Bot with local documents
-    long_description: |
-        IMPORTANT: Please read the following before proceeding.  By configuring and launching this AMP, you will cause h2oai/h2ogpt-oig-oasst1-512-6.9b, which is a third party large language model (LLM), to be downloaded and installed into your environment from the third party’s website.  Please see https://huggingface.co/h2oai/h2ogpt-oig-oasst1-512-6.9b for more information about the LLM, including the applicable license terms.  If you do not wish to download and install h2oai/h2ogpt-oig-oasst1-512-6.9b, click “cancel” below.  By clicking “Configure Project” below, you acknowledge the foregoing statement and agree that Cloudera is not responsible or liable in any way for h2oai/h2ogpt-oig-oasst1-512-6.9b. Author: Cloudera Inc.
+    long_description: >-
+        IMPORTANT: Please read the following before proceeding.  By configuring and launching this AMP, you will cause h2oai/h2ogpt-oig-oasst1-512-6.9b, which is a third party large language model (LLM), to be downloaded and installed into your environment from the third party’s website.  Please see https://huggingface.co/h2oai/h2ogpt-oig-oasst1-512-6.9b for more information about the LLM, including the applicable license terms.  If you do not wish to download and install h2oai/h2ogpt-oig-oasst1-512-6.9b, click "Cancel" below.  By clicking "Configure Project" below, you acknowledge the foregoing statement and agree that Cloudera is not responsible or liable in any way for h2oai/h2ogpt-oig-oasst1-512-6.9b. Author: Cloudera Inc.
         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
         This AMP builds a Retrieval Augmented Generation (RAG)
         Question-Answer Large Language Model (LLM) Bot application which
         demonstrates how context from local documents can be used with pre-trained
         LLM models to perform context retrieval and chat response
-        generation with factual responses.        
-
+        generation with factual responses.
+    long_description_html: >-
+        IMPORTANT: Please read the following before proceeding.  By configuring and launching this AMP, you will cause h2oai/h2ogpt-oig-oasst1-512-6.9b, which is a third party large language model (LLM), to be downloaded and installed into your environment from the third party’s website.  Please see https://huggingface.co/h2oai/h2ogpt-oig-oasst1-512-6.9b for more information about the LLM, including the applicable license terms.  If you do not wish to download and install h2oai/h2ogpt-oig-oasst1-512-6.9b, click "Cancel" below.  By clicking "Configure Project" below, you acknowledge the foregoing statement and agree that Cloudera is not responsible or liable in any way for h2oai/h2ogpt-oig-oasst1-512-6.9b. Author: Cloudera Inc.
+        <br/>
+        <b>LLM Model</b>
+        This AMP builds a Retrieval Augmented Generation (RAG)
+        Question-Answer Large Language Model (LLM) Bot application which
+        demonstrates how context from local documents can be used with pre-trained
+        LLM models to perform context retrieval and chat response
+        generation with factual responses.
+        <br/>
+    is_new: true
     image_path: >-
       https://raw.githubusercontent.com/cloudera/CML_AMP_LLM_Chatbot_Augmented_with_Enterprise_Data/main/images/catalog-screenshot.png
     tags: