starting deployment

.github/workflows/main.yaml

@@ -0,0 +1,64 @@
+# .github/workflows/main.yml
+
+name: Deploy App to Hugging Face Spaces
+
+on:
+  push:
+    branches:
+      - main  # Trigger this workflow on every push to the main branch
+
+jobs:
+  deploy-to-hub:
+    runs-on: ubuntu-latest
+    
+    steps:
+      # Step 1: Check out your source code from GitHub
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0 # Fetches all history for Git LFS
+
+      # Step 2: Set up Python environment
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.11' # Match the Python version you used
+
+      # Step 3: Install DVC and its Google Drive dependency
+      - name: Install DVC
+        run: pip install "dvc[gdrive]"
+
+      # Step 4: Configure DVC with the credentials from GitHub Secrets
+      - name: Configure DVC
+        env:
+          GDRIVE_CREDENTIALS_DATA: ${{ secrets.GDRIVE_CREDENTIALS_DATA }}
+        run: |
+          mkdir -p .dvc/tmp
+          echo "$GDRIVE_CREDENTIALS_DATA" > .dvc/tmp/gdrive-user-credentials.json
+
+      # Step 5: Pull the large model file from Google Drive
+      - name: Pull DVC Artifacts
+        run: dvc pull artifacts/model_training/model.dvc -f
+
+      # Step 6: Log in to Hugging Face Hub
+      - name: Log in to Hugging Face Hub
+        uses: huggingface/login@v1
+        with:
+          token: ${{ secrets.HF_TOKEN }}
+
+      # Step 7: Push the complete app (code + model) to the Space
+      - name: Push to HF Space
+        env:
+          HF_SPACE_TARGET: ${{ secrets.HF_USERNAME }}/${{ secrets.HF_SPACE_NAME }} # Example: ALYYAN/pneumonia-detection-ai
+        run: |
+          git config --global user.email "action@github.com"
+          git config --global user.name "GitHub Action"
+          # Clone the Space repo into a new directory
+          git clone https://huggingface.co/spaces/${HF_SPACE_TARGET} hf_space_repo
+          # Copy all necessary files into the Space repo
+          cp -r app/ app.py requirements.txt README.md artifacts/model_training/model/ hf_space_repo/
+          cd hf_space_repo
+          # Commit and push
+          git add .
+          git commit -m "Automatic deployment from GitHub Action" || echo "No changes to commit"
+          git push

README.md

@@ -6,8 +6,10 @@ colorTo: indigo
 sdk: gradio
 sdk_version: 4.19.1
 app_file: app.py
-startup_script: setup.sh
 pinned: false
+secrets:
+  - MONGODB_CONNECTION_STRING
+  # HF_TOKEN is no longer needed here, it's a secret for the runner
 ---
 
 # 🩺 Pneumonia Detection AI