adding ml pipelines

.github/workflows/train-deploy.yaml

@@ -0,0 +1,45 @@
+name: Train and Deploy Model
+on:
+  pull_request:
+    branches:
+      -main
+jobs:
+  train-evaluate-deploy:
+  runs-on: ubuntu-latest
+  steps:
+    - name: checkout repository
+      uses: actions/checkout@v3
+    - name: set up python
+      uses: actions/setup-python@v3
+      with:
+        python-version: 3.10
+    - name: install dependencies
+      runs: 
+        pip install -r requirements.txt
+    - name: train the model
+      run: python train.py
+    - name: check-model accuracy
+      id: check-accuracy
+      run: |
+        ACCURACCY = $(python -c "import json; print(json.load(open('metrics.json'))['accuracy'])")
+        echo "Model Accuracy :$ACCURACY"
+        if (( $(echo $Accuracy: < 90" | bc -l))); then
+          echo "model accuracy is too low.skipping deployment"
+          exit 1
+        fi
+    - name: Deploy to hugging face
+      env:
+        HF_TOKEN: ${{ secrets.HUGGINGFACE_API_TOKEN }}
+      run: |
+        hugging-cli login --token $HF_TOKEN
+        git clone https://huggingface.co/spaces/danielle2003/diabeties-ml
+        cd diabeties-ml
+        cp ../diabetes-model.jolib
+        git add .
+        git commit -m "Updated model"
+        git push
+
+
+
+
+    

requirements.txt

@@ -1,4 +1,6 @@
 streamlit
 scikit-learn
 pandas
+numpy
+huggingface_hub
 joblib