Simplify HF upload call

.github/workflows/huggingface-upload.yml

@@ -3,8 +3,6 @@ name: Upload to Hugging Face
 on:
   push:
     branches: [ main, master ]
-  repository_dispatch:
-    types: [trigger-hf-upload]
 
 jobs:
   upload:
@@ -20,12 +18,12 @@ jobs:
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip
-          pip install huggingface_hub python-dotenv
+          pip install huggingface_hub
           
       - name: Upload to Hugging Face
         env:
           HUGGINGFACE_ACCESS_TOKEN: ${{ secrets.HUGGINGFACE_ACCESS_TOKEN }}
-          COMMIT_MESSAGE: ${{ github.event.head_commit.message || 'Update from nightly evaluation' }}
+          COMMIT_MESSAGE: ${{ github.event.head_commit.message }}
         run: |
           python -c '
           from huggingface_hub import upload_folder

.github/workflows/nightly-evals.yml

@@ -24,6 +24,8 @@ jobs:
       - name: Run evaluations
         env:
           OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
+          ELEVENLABS_API_KEY: ${{ secrets.ELEVENLABS_API_KEY }}
+          HUGGINGFACE_ACCESS_TOKEN: ${{ secrets.HUGGINGFACE_ACCESS_TOKEN }}
         run: |
           cd evals
           python main.py
@@ -35,10 +37,25 @@ jobs:
           git add results.json models.json languages.json
           git commit -m "Update evaluation results [skip ci]" || echo "No changes to commit"
           git push
+      
+      - name: Install Hugging Face dependencies
+        run: |
+          python -m pip install huggingface_hub
           
-      - name: Trigger Hugging Face upload
-        if: success()
-        uses: peter-evans/repository-dispatch@v2
-        with:
-          event-type: trigger-hf-upload
-          token: ${{ secrets.GITHUB_TOKEN }} 
+      - name: Upload to Hugging Face
+        env:
+          HUGGINGFACE_ACCESS_TOKEN: ${{ secrets.HUGGINGFACE_ACCESS_TOKEN }}
+        run: |
+          python -c '
+          from huggingface_hub import upload_folder
+          import os
+          
+          upload_folder(
+              folder_path=".",
+              path_in_repo="/",
+              repo_id="datenlabor-bmz/ai-language-monitor",
+              repo_type="space",
+              token=os.environ["HUGGINGFACE_ACCESS_TOKEN"],
+              commit_message="Upload from nightly evaluation run",
+          )
+          '