Model Files Update

.github/workflows/aws.yaml

@@ -0,0 +1,57 @@
+name: Deploy Application Docker Image to EC2 instance
+
+on:
+  push:
+    branches: [main]
+
+jobs:
+  Continuous-Integration:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+
+      - name: Configure AWS credentials
+        uses: aws-actions/configure-aws-credentials@v1
+        with:
+          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
+          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+          aws-region: ${{ secrets.AWS_DEFAULT_REGION }}
+
+      - name: Login to Amazon ECR
+        id: login-ecr
+        uses: aws-actions/amazon-ecr-login@v1
+
+      - name: Build, tag, and push image to Amazon ECR
+        id: build-image
+        env:
+          ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
+          ECR_REPOSITORY: ${{ secrets.ECR_REPO }}
+          IMAGE_TAG: latest
+        run: |
+          docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .  
+          docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
+          echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"
+
+  Continuous-Deployment:
+    needs: Continuous-Integration
+    runs-on: self-hosted
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+
+      - name: Configure AWS credentials
+        uses: aws-actions/configure-aws-credentials@v1
+        with:
+          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
+          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+          aws-region: ${{ secrets.AWS_DEFAULT_REGION }}
+
+      - name: Login to Amazon ECR
+        id: login-ecr
+        uses: aws-actions/amazon-ecr-login@v1
+
+      - name: Run Docker Image to serve users
+        run: |
+          docker run -d -e AWS_ACCESS_KEY_ID="${{ secrets.AWS_ACCESS_KEY_ID }}" -e AWS_SECRET_ACCESS_KEY="${{ secrets.AWS_SECRET_ACCESS_KEY }}" -e AWS_DEFAULT_REGION="${{ secrets.AWS_DEFAULT_REGION }}" -e MONGODB_URL="${{ secrets.MONGODB_URL }}" -p 8080:8080 "${{ steps.login-ecr.outputs.registry }}"/"${{ secrets.ECR_REPO }}":latest

app.py

@@ -19,7 +19,7 @@
 kidney_model = load_model('Artifacts\Kidney_Disease\Kidney_Model.h5')
 #lung_model = load_model('Artifacts\Lung_Disease\Lung_Model.h5')
 livermodel = pickle.load(open('Artifacts\Liver_Disease\Liver_Model.pkl', 'rb'))
-liverpreprocessor = pickle.load(open('Artifacts\Liver_Disease\Liver_Preprocessor.pkl', 'rb'))
+#liverpreprocessor = pickle.load(open('Artifacts\Liver_Disease\Liver_Preprocessor.pkl', 'rb'))
 
 
 
@@ -264,8 +264,8 @@ def liver():
                             albumin, albumin_globulin_ratio]).reshape(1, -1)
 
         # Make prediction - (livermodel and liverpreprocessor assumed to be defined elsewhere)
-        prediction = livermodel.predict(liverpreprocessor.transform(features))[0]
-        probability = livermodel.predict_proba(liverpreprocessor.transform(features))[0][1]
+        prediction = livermodel.predict(features)[0]
+        probability = livermodel.predict_proba(features)[0][1]
 
         # Prepare response
         if prediction == 1:

src/gen_ai/NoteBook_Experiments/GeminiMed/app.py → src/GeminiMed/app.py

@@ -22,7 +22,7 @@ def get_gemini_response(question):
     response = model.generate_content(question)
     return response.text
 
-st.title('GeminiMed: GPT-4.5')
+st.title('OpenHealth: GPT-4.5')
 
 user_input = st.text_input("Enter Your Medical Query Here:")
 

src/gen_ai/NoteBook_Experiments/GeminiMed/MedicineRecognition/app.py → src/MedicineRecognition/app.py

@@ -28,5 +28,6 @@ def validate(validation_prompt):
 uploaded_file = st.file_uploader("Upload an image", type=['jpg', 'png', 'jpeg'])
 if uploaded_file is not None:
     image = Image.open(uploaded_file)
+    st.image(image, caption='Uploaded Image.', use_column_width=True)
     response_text = gen_image(question, image)
     st.write(response_text)