Update description for Image and Video Analysis in-a-box in README.md and main.bicep

Author: jehayesms

README.md

@@ -37,7 +37,7 @@ Pattern|Description|Supported Use Cases and Features|
 |[Azure ML Operationalization in-a-box](./machine-learning/ml-ops-in-a-box)|Boilerplate Data Science project from model development to deployment and monitoring|<li>End-to-end MLOps project template <li>Outer Loop (infrastructure setup) <br> <li>Inner Loop (model creation and deployment lifecycle)|
 |[Edge AI in-a-box](./edge-ai/)|Edge AI from model creation to deployment on Edge Device(s) |<li>Create a model and deploy to Edge Device <li>Outer Loop Infrastructure Setup (IoT Hub, IoT Edge, Edge VM, Container Registry, Azure ML) <br> <li>Inner Loop (model creation and deployment)|
 |[Doc Intelligence in-a-box](./ai-services/doc-intelligence-in-a-box) | This accelerator enables companies to automate PDF form processing, modernize operations, save time, and cut costs as part of their digital transformation journey. |<li>Receive PDF Forms<br> <li>Function App and Logic App for Orchestration<br> <li>Document Intelligence Model creation for form processing and content extraction <br> <li> Saves PDF data in Azure Cosmos DB |
-|[Image and Video Analysis in-a-box](./ai-services/gpt-video-analysis-in-a-box/) | Extracts information from images and videos Azure AI Vision and sends the results to Azure GPT-4 Turbo with Vision along with the prompt and system message. |<li>Orchestration through Azure Data Factory<br> <li>Low code solution, easily extensible for your own use cases through ADF parameters<br> <li> Reuse same solution and deployed resources for many different scenarios<br> <li> Saves GPT4-V results to Azure CosmosDB|
+|[Image and Video Analysis in-a-box](./ai-services/gpt-video-analysis-in-a-box/) | Extracts information from images and videos with Azure AI Vision and sends the results along with the prompt and system message to Azure GPT-4 Turbo with Vision. |<li>Orchestration through Azure Data Factory<br> <li>Low code solution, easily extensible for your own use cases through ADF parameters<br> <li> Reuse same solution and deployed resources for many different scenarios<br> <li> Saves GPT4-V results to Azure CosmosDB|
 |[Cognitive Services Landing Zone in-a-box](./ai-services/ai-landing-zone)|Minimal enterprise-ready networking and AI Services setup to support most Cognitive Services scenarios in a secure environment|<li>Hub-and-Spoke Vnet setup and peering <br> <li>Cognitive Service deployment <br> <li>Private Endpoint setup <br> <li>Private DNS integration with PaaS DNS resolver|
 |[Semantic Kernel Bot in-a-box](./gen-ai/semantic-kernel-bot-in-a-box)|Extendable solution accelerator for advanced Azure OpenAI Bots|<li>Deploy Azure OpenAI bot to multiple channels (Web, Teams, Slack, etc) <br> <li>Built-in Retrieval-Augmented Generation (RAG) support <br> <li>Implement custom AI Plugins|
 [NLP to SQL in-a-box](./gen-ai/nlp-sql-in-a-box)|Unleash the power of a cutting-edge speech-enabled SQL query system with Azure Open AI, Semantic Kernel, and Azure Speech Services. Simply speak your data requests in natural language, and let the magic happen.|<li>Allows users to verbally express natural language queries <br> <li>Translate into SQL statements using Azure Speech & AOAI <br> <li> Execute  on an Azure SQL DB |

ai-services/gpt-video-analysis-in-a-box/infra/main.bicep

@@ -1,14 +1,18 @@
 targetScope = 'resourceGroup'
 
-@description('Your resource group name')
+@description('Create or select an Azure resource group.')
 param resourceGroupName string = ''
+@description('Select the Azure region for the resources for GPT-4V. Make sure it is a region that supports GPT-4V.')
 param location string // as of 2024-01-23, GPT4V is only available in westus in the US, storage account must be in the same region as OpenAI resource
+@description('End the Azure region for the resources for AI Vision Image Analysis 4.0. Make sure it is a region that supports Image Analysis 4.0.')
 param locationCV string  // as of 2024-01-23, CV with image analysis 4.0 is only available in eastus in the US
 @description('Your Object ID')
 param spObjectId string = ''  //This is your own users Object ID
-param prefix string 
-
-param suffix string 
+@description('The prefix for the resources that will be created')
+param prefix string
+@description('The suffix for the resources that will be created')
+param suffix string
+@description('The name of the environment')
 param environmentName string
 
 var gpt4vDeploymentName = 'gpt-4v'