Add openai resource with bicep, update .env and add virtualenv

README.md

@@ -10,9 +10,6 @@ Classic OCR (Object Character Recognition) models lack reasoning ability based o
 
 This solution uses Azure Document Intelligence combined with GPT4-Vision. Each of the tools have their strong points and the hybrid approach is better than any of them alone.
 
-> Notes:
-> - The Azure OpenAI model needs to be vision capable i.e. GPT-4T-0125, 0409 or Omni
-
 
 ## Solution Overview
 
@@ -22,17 +19,6 @@ This solution uses Azure Document Intelligence combined with GPT4-Vision. Each o
 
 ![architecture](docs/ArchitectureOverview.png)
 
-## Prerequisites
-### Azure OpenAI Resource
-
-Before deploying the solution, you need to create an OpenAI resource and deploy a model that is vision capable.
-
-1. **Create an OpenAI Resource**:
-   - Follow the instructions [here](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource) to create an OpenAI resource in Azure.
-
-2. **Deploy a Vision-Capable Model**:
-   - Ensure the deployed model supports vision, such as GPT-4T-0125, GPT-4T-0409 or GPT-4-Omni.
-
 
 ## Deployment
 
@@ -41,7 +27,6 @@ Before deploying the solution, you need to create an OpenAI resource and deploy
 1. **Prerequisites**:
    - Install [Azure Developer CLI](https://learn.microsoft.com/en-us/azure/developer/azure-developer-cli/install-azd).
    - Ensure you have access to an Azure subscription.
-   - Create an OpenAI resource and deploy a vision-capable model.
 
 2. **Deployment Steps**:
    - Run the following commands to login (if needed):
@@ -68,7 +53,25 @@ Before deploying the solution, you need to create an OpenAI resource and deploy
 ## Running the Streamlit Frontend (recommended)
 
 To run the Streamlit app `app.py` located in the `frontend` folder, follow these steps:
+* Set up a virtual environment (Preferred)
+```bash
+python -m venv argus
+```
+Once you’ve created a virtual environment, you may activate it.
 
+On Windows, run:
+```bash
+argus\Scripts\activate
+```
+On Unix or MacOS, run:
+```bash
+source argus/bin/activate
+```
+To deactivate :
+```bash
+deactivate
+```
+> More information about virtual environments can be found [here](https://docs.python.org/3/tutorial/venv.html)
 1. Install the required dependencies by running the following command in your terminal:
    ```sh
    pip install -r frontend/requirements.txt

frontend/.env.temp

@@ -1,6 +1,6 @@
-BLOB_ACCOUNT_URL=""
+BLOB_ACCOUNT_URL="add here" # an example "https://sai664qk9lslfvbi.blob.core.windows.net/"
 CONTAINER_NAME="datasets"
-COSMOS_URL=""
+COSMOS_URL="add here" # an example "https://cbi44qk5lxyzvbi.documents.azure.com"
 COSMOS_DB_NAME="doc-extracts"
 COSMOS_DOCUMENTS_CONTAINER_NAME="documents"
-COSMOS_CONFIG_CONTAINER_NAME="configuration"
+COSMOS_CONFIG_CONTAINER_NAME="configuration"

infra/main.bicep

@@ -21,17 +21,15 @@ param functionAppName string = 'fa${uniqueString(resourceGroup().id)}'
 
 param appServicePlanName string = '${functionAppName}-plan'
 
-// Define the Document Intelligence resource name
-param documentIntelligenceName string = 'di${uniqueString(resourceGroup().id)}'
+// Define the name of the Azure OpenAI resource name 
+param azureOpenaiResourceName string = 'arg-aoai' 
 
+// Define the name of the Azure OpenAI model name  
+param azureOpenaiDeploymentName string = 'gpt-4o' 
 
+// Define the Document Intelligence resource name
+param documentIntelligenceName string = 'di${uniqueString(resourceGroup().id)}'
 
-// Define the Azure OpenAI parameters
-@secure()
-param azureOpenaiEndpoint string
-@secure()
-param azureOpenaiKey string
-param azureOpenaiModelDeploymentName string
 
 param timestamp string = utcNow('yyyy-MM-ddTHH:mm:ssZ')
 var sanitizedTimestamp = replace(replace(timestamp, '-', ''), ':', '')  
@@ -185,6 +183,42 @@ resource appServicePlan 'Microsoft.Web/serverfarms@2021-03-01' = {
   tags: commonTags
 }
 
+//Define the OpenAI resource
+resource openai 'Microsoft.CognitiveServices/accounts@2023-05-01' = {
+  name: azureOpenaiResourceName
+  location: location
+
+  sku: {
+    name: 'S0'
+  }
+  kind: 'OpenAI'
+  properties: {
+
+  }
+
+}
+// Define the OpenAI deployment
+resource openaideployment 'Microsoft.CognitiveServices/accounts/deployments@2023-05-01' = {
+  name: azureOpenaiDeploymentName
+  sku: {
+    name: 'GlobalStandard'
+    capacity: 30
+  }
+  parent: openai
+  properties: {
+    model: {
+      name: 'gpt-4o'
+      format: 'OpenAI'
+      version: '2024-05-13'
+
+    }
+    raiPolicyName: 'Microsoft.Default'
+    versionUpgradeOption: 'OnceCurrentVersionExpired'
+
+  }
+}
+
+
 // Define the Document Intelligence resource
 resource documentIntelligence 'Microsoft.CognitiveServices/accounts@2021-04-30' = {
   name: documentIntelligenceName
@@ -276,15 +310,15 @@ resource functionApp 'Microsoft.Web/sites@2021-03-01' = {
         }
         {
           name: 'AZURE_OPENAI_ENDPOINT'
-          value: azureOpenaiEndpoint
+          value: '${openai.properties.endpoint}openai/deployments/gpt-4o/chat/completions?api-version=2024-02-15-preview' 
         }
         {
           name: 'AZURE_OPENAI_KEY'
-          value: azureOpenaiKey
+          value: listKeys(openai.id, '2024-10-01').key1
         }
         {
           name: 'AZURE_OPENAI_MODEL_DEPLOYMENT_NAME'
-          value: azureOpenaiModelDeploymentName
+          value: openaideployment.name 
         }
         {
           name: 'FUNCTIONS_WORKER_PROCESS_COUNT'