ci: added ci to publish lib to pio registry

Author: Inmoresentum

.github/workflows/pio_registry_publisher.yml

@@ -0,0 +1,60 @@
+name: Publish ESP32TFLMWrapper to PlatformIO Registry
+
+on:
+  push:
+    branches: [ publish ]
+  pull_request:
+    branches: [ publish ]
+    types: [ closed ]
+
+jobs:
+  publish:
+    if: github.event_name == 'push' || (github.event_name == 'pull_request' && github.event.pull_request.merged == true)
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.x'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install platformio
+
+      - name: Setup PlatformIO authentication
+        run: |
+          mkdir -p ~/.platformio
+          echo "[auth]" > ~/.platformio/auth.ini
+          echo "token = ${{ secrets.PIO_AUTH_KEY }}" >> ~/.platformio/auth.ini
+
+      - name: Publish to PlatformIO Registry
+        run: |
+          # First check if library.json exists
+          if [ ! -f "library.json" ]; then
+            echo "Error: library.json not found!"
+            exit 1
+          fi
+          
+          # Attempt to publish
+          echo "Publishing library to PlatformIO Registry..."
+          pio package publish --no-interactive 2>&1 | tee publish_output.log
+          
+          # Check if publish was successful
+          if [ ${PIPESTATUS[0]} -eq 0 ]; then
+            echo "Successfully published to PlatformIO Registry!"
+          else
+            echo "Failed to publish library"
+            cat publish_output.log
+            exit 1
+          fi
+
+      - name: Upload publish log
+        if: always()
+        uses: actions/upload-artifact@v3
+        with:
+          name: publish-log
+          path: publish_output.log

library.json

@@ -1,8 +1,8 @@
 {
   "name": "ESP32TFLMWrapper",
-  "version": "0.0.1",
+  "version": "0.0.2",
   "description": "Abstract away all the low level complexity of TensorFlow Lite Micro and makes it really easy to deploy TFLM models and logs per ops wise execution time on supported ESP32 boards.",
-  "keywords": "ESP32, ESP32-S3, TensorFlow, TFLM, TFLiteMicro, TensorFlow Lite Micro, arduino, esp32 arduino, ops wise metrics",
+  "keywords": "ESP32, ESP32-S3, TensorFlow, TFLM, TFLiteMicro, operation, TensorFlow Lite Micro, arduino, esp32 arduino, ops wise metrics",
   "repository": {
     "type": "git",
     "url": "https://github.com/arrhythmia-detection/ESP32TFMicro.git"