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documents/AVMPostDeploymentGuide.md

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@@ -111,6 +111,57 @@ Confirm your deployment is working correctly:
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### 6. Customize with Your Own Data (Optional)
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To replace the sample data with your own conversational data, follow these steps:
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#### Prerequisites
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- Your data must be in **JSON** (transcripts) or **WAV** (audio) format
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- File names should be prefixed with "convo" followed by a GUID and timestamp
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- Example: `convo_32e38683-bbf7-407e-a541-09b37b77921d_2024-12-07 04%3A00%3A00`
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- For examples, see the sample data in the `infra/data/` folder
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#### Upload Your Data
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1. Navigate to your **Storage Account** in the Azure Portal
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2. Open the `data` container
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3. Upload your files to the appropriate folder:
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- **Audio files**`custom_audiodata` folder
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- **Transcript files**`custom_transcripts` folder
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> **📝 Note for WAF-aligned deployments**: If your deployment uses private networking, you'll need to upload files from a VM within the virtual network. See the [VM login instructions](#vm-access-for-waf-deployments) below.
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#### Process Your Custom Data
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Run the processing script to integrate your data into the solution:
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```bash
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bash ./infra/scripts/process_custom_data.sh
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```
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If you don't have `azd env` configured, pass the required parameters:
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```bash
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bash ./infra/scripts/process_custom_data.sh \
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<Resource-Group-Name> <Azure-Subscription-ID> \
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<Storage-Account-Name> <Storage-Container-Name> \
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<SQL-Server-Name> <SQL-Database-Name> <Backend-User-MID-Client-ID> <Backend-User-MID-Display-Name> \
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<AI-Search-Name> <Search-Endpoint> \
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<AI-Foundry-Resource-ID> <CU-Foundry-Resource-ID> \
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<OpenAI-Endpoint> <Embedding-Model> <Deployment-Model> \
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<CU-Endpoint> <AI-Agent-Endpoint> <CU-API-Version>
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```
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#### VM Access for WAF Deployments
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For deployments with private networking:
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1. Navigate to your VM in the Azure portal
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2. Click **Connect****Bastion**
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3. Enter your VM credentials and click **Connect**
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4. Wait for the Bastion connection to establish
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5. Upload files through the connected VM interface
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## Getting Started
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### Sample Questions

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