Fix SINet model download URL (#559)

* Fix SINet model URL to use specific commit hash

The previous URL pointing to main branch was failing to download. Updated to use a specific commit hash (c76eed22a7d493836189bf892e83ebf8c59152f6) to ensure stable download link.

* update

* update

---------

Co-authored-by: Milly Wei (from Dev Box) <yuanwei@microsoft.com>

Author: weiyuanyue

.github/workflows/test-report.yml

@@ -88,9 +88,22 @@ jobs:
         if (-not [string]::IsNullOrWhiteSpace("${{ secrets.LAF_PUBLISHER_ID }}")) {
           echo "LAF_PUBLISHER_ID=${{ secrets.LAF_PUBLISHER_ID }}" >> $env:GITHUB_ENV
         }
+    - name: Create ephemeral nuget config from template
+      shell: pwsh
+      run: |
+        $templatePath = "${{ github.workspace }}\nuget.config.template"
+        $configPath = "$env:RUNNER_TEMP\nuget.config"
+        
+        if (-not (Test-Path $templatePath)) {
+          Write-Error "Template file not found: $templatePath"
+          exit 1
+        }
+        
+        Copy-Item -Path $templatePath -Destination $configPath -Force
+        echo "EPHEMERAL_NUGET_CONFIG=$configPath" >> $env:GITHUB_ENV
     - name: Restore dependencies
       if: github.event_name != 'workflow_run'
-      run: dotnet restore AIDevGallery.sln -r win-${{ matrix.dotnet-arch }} /p:Configuration=${{ matrix.dotnet-configuration }} /p:Platform=${{ matrix.dotnet-arch }} /p:PublishReadyToRun=true /p:SelfContainedIfPreviewWASDK=true
+      run: dotnet restore AIDevGallery.sln -r win-${{ matrix.dotnet-arch }} /p:Configuration=${{ matrix.dotnet-configuration }} /p:Platform=${{ matrix.dotnet-arch }} /p:PublishReadyToRun=true /p:SelfContainedIfPreviewWASDK=true --configfile "${{ env.EPHEMERAL_NUGET_CONFIG }}"
     - name: Build
       if: github.event_name != 'workflow_run'
       run: |

AIDevGallery/Samples/Definitions/Models/imagemodels.modelgroup.json

@@ -295,7 +295,7 @@
           "SINet": {
             "Id": "b7cae321-478f-1177-9559-709df5dfe703",
             "Name": "SINet",
-            "Url": "https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx",
+            "Url": "https://huggingface.co/qualcomm/SINet/resolve/v0.32.0/SINet.onnx",
             "Description": "SINet is a machine learning model that is designed to segment people from close\u2011up portrait images in real time.",
             "HardwareAccelerator": [
               "CPU",