Use GitHub app token to push formatted code

.github/workflows/format.yml

@@ -10,17 +10,26 @@ env:
 
 jobs:
   format-code:
+    if: github.actor != 'mlc-automations'
     runs-on: ubuntu-latest
     permissions:
       contents: write
     steps:
+      - name: Generate GitHub App token
+        id: app-token
+        uses: actions/create-github-app-token@v1
+        with:
+          app-id: ${{ secrets.MLC_AUTOMATIONS_APP_ID }}
+          private-key: ${{ secrets.MLC_AUTOMATIONS_PRIVATE_KEY }}
+
       - name: Checkout code
         uses: actions/checkout@v4
         with:
           fetch-depth: 0
+          token: ${{ steps.app-token.outputs.token }}
 
       - name: Set up Python ${{ env.python_version }}
-        uses: actions/setup-python@v3
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ env.python_version }}
 
@@ -55,10 +64,10 @@ jobs:
         run: |
           HAS_CHANGES=$(git diff --staged --name-only)
           if [ ${#HAS_CHANGES} -gt 0 ]; then
-            git config --global user.name github-actions[bot]
-            git config --global user.email "github-actions[bot]@users.noreply.github.com"
+            # Use the GitHub actor's name and email
+            git config --global user.name mlc-automations
+            git config --global user.email "3246381+mlc-automations@users.noreply.github.com"
             # Commit changes
             git commit -m '[Automated Commit] Format Codebase'
-            # Use the GITHUB_TOKEN to push changes
-            git push
+            git push 
           fi

main.py

@@ -70,8 +70,8 @@ def mlperf_inference_implementation_readme(
                     frameworks = ["Pytorch"]
 
         elif implementation == "nvidia":
-            if model in ["retinanet", "resnet50",
-                         "3d-unet-99", "3d-unet-99.9", "llama2-70b-99", "llama2-70b-99.9"]:
+            if model in ["retinanet", "resnet50", "3d-unet-99",
+                         "3d-unet-99.9", "llama2-70b-99", "llama2-70b-99.9"]:
                 code_version = "r5.1-dev"
             if model in ["mixtral-8x7b"]:
                 return pre_space + "    WIP"
@@ -156,8 +156,8 @@ def mlperf_inference_implementation_readme(
         for category in categories:
             if category == "Edge":
                 scenarios = ["Offline", "SingleStream"]
-                if model.lower() in [
-                        "resnet50", "retinanet", "yolo-95", "yolo-99"] and not "MultiStream" in scenarios:  # MultiStream was duplicating
+                if model.lower() in ["resnet50", "retinanet", "yolo-95",
+                                     "yolo-99"] and not "MultiStream" in scenarios:  # MultiStream was duplicating
                     scenarios.append("MultiStream")
                 if model.lower() in ["pointpainting"]:
                     scenarios.remove("Offline")