Fabric_deployment.md

How to customize

If you'd like to customize the solution accelerator, here are some ways you might do that:

• Ingest your own audio conversation files by uploading them into the cu_audio_files_all lakehouse folder and run the data pipeline
• Deploy with Microsoft Fabric by following the steps in Fabric_deployment.md

3. Create Fabric workspace

   1. Navigate to (Fabric Workspace)
   2. Click on Data Engineering experience
   3. Click on Workspaces from left Navigation
   4. Click on + New Workspace
      1. Provide Name of Workspace
      2. Provide Description of Workspace (optional)
      3. Click Apply
   5. Open Workspace
   6. Create Environment
      1. Click + New Item (in Workspace)
      2. Select Environment from list
      3. Provide name for Environment and click Create
      4. Select Public libraries in left panel
      5. Click Add from .yml
      6. Upload .yml from here
      7. Click Publish
   7. Retrieve Workspace ID from URL, refer to documentation additional assistance (here)

   ***Note: Wait until the Environment is finished publishing prior to proceeding witht the next steps.

4. Deploy Fabric resources and artifacts

   1. Navigate to (Azure Portal)
   2. Click on Azure Cloud Shell in the top right of navigation Menu (add image)
   3. Run the run the following commands:
      1. az login ***Follow instructions in Azure Cloud Shell for login instructions
      2. rm -rf ./Conversation-Knowledge-Mining-Solution-Accelerator
      3. git clone https://github.com/microsoft/Conversation-Knowledge-Mining-Solution-Accelerator
      4. cd ./Conversation-Knowledge-Mining-Solution-Accelerator/Deployment/scripts/fabric_scripts
      5. sh ./run_fabric_items_scripts.sh keyvault_param workspaceid_param solutionprefix_param
         1. keyvault_param - the name of the keyvault that was created in Step 1
         2. workspaceid_param - the workspaceid created in Step 2
         3. solutionprefix_param - prefix used to append to lakehouse upon creation

5. Add App Authentication

   Follow steps in App Authentication to configure authenitcation in app service.

Upload additional files

All files WAV files can be uploaded in the corresponding Lakehouse in the data/Files folder:

• Audio (WAV files): Upload Audio files in the cu_audio_files_all folder.

Post-deployment

• To process additional files, manually execute the pipeline_notebook after uploading new files.
• The OpenAI prompt can be modified within the Fabric notebooks.