feat: introduce configurable content options and privacy controls for spiritual care messages.

.gitignore

@@ -119,3 +119,4 @@ spiritual_app.py
 start.sh
 .zshenv
 src/core/verification_store.py
+manual_tests/test_vertex_auth.py

src/core/ai_client.py

@@ -9,6 +9,8 @@ with automatic fallback and provider-specific optimizations.
 import os
 import json
 import logging
+import base64
+import tempfile
 from datetime import datetime
 from typing import Optional, Dict, Any, List
 from abc import ABC, abstractmethod
@@ -101,11 +103,48 @@ class GeminiClient(BaseAIClient):
         if not GEMINI_AVAILABLE:
             raise ImportError("Google GenAI library not available. Install with: pip install google-genai")
             
+        gcp_base64 = os.getenv("GCP_SERVICE_ACCOUNT_B64")
         api_key = os.getenv("GEMINI_API_KEY")
-        if not api_key:
-            raise ValueError("GEMINI_API_KEY environment variable not set")
+        
+        if gcp_base64:
+            try:
+                # Decode Service Account JSON from Base64
+                creds_json = base64.b64decode(gcp_base64).decode('utf-8')
+                
+                # Create temporary file for credentials
+                # Library expects a file path in GOOGLE_APPLICATION_CREDENTIALS
+                self.temp_file = tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False)
+                self.temp_file.write(creds_json)
+                self.temp_file.flush()
+                
+                os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = self.temp_file.name
+                
+                # Read project_id from credentials to initialize Vertex AI
+                creds_dict = json.loads(creds_json)
+                project_id = creds_dict.get("project_id")
+
+                # Initialize client with Vertex AI mode
+                self.client = genai.Client(
+                    vertexai=True,
+                    project=project_id,
+                    location=os.getenv("GOOGLE_CLOUD_LOCATION", "us-central1")
+                )
+                logging.info(f"Initialized Gemini via Vertex AI (Project: {project_id})")
+            except Exception as e:
+                logging.error(f"Error initializing Gemini with Service Account: {e}")
+                # Fallback to API Key if Service Account fails
+                if api_key:
+                    self.client = genai.Client(api_key=api_key)
+                    logging.info("Fallback: Initialized Gemini via API Key after SA failure")
+                else:
+                    raise ValueError(f"Failed to initialize Gemini with Service Account and no API Key found: {e}")
+        elif api_key:
+            # Traditional API Key initialization
+            self.client = genai.Client(api_key=api_key)
+            logging.info("Initialized Gemini via API Key")
+        else:
+            raise ValueError("No Gemini configuration found (GCP_SERVICE_ACCOUNT_B64 or GEMINI_API_KEY)")
             
-        self.client = genai.Client(api_key=api_key)
         self.model_name = model.value
         
     def generate_response(self, system_prompt: str, user_prompt: str, temperature: Optional[float] = None) -> str:

src/interface/simplified_gradio_app.py

@@ -703,8 +703,7 @@ Use the **Download Summary** button below to access the complete provider summar
                 stats, 
                 gr.update(visible=show_provider_panel),  # provider_summary_content visibility
                 status_msg,  # provider_summary_status content
-                gr.update(value=html_content, visible=True) if show_provider_panel else gr.update(visible=False),  # provider_summary_display content
-                spiritual_care_msg  # spiritual_care_message content
+                gr.update(value=html_content, visible=True) if show_provider_panel else gr.update(visible=False)  # provider_summary_display content
             )
         
         def handle_clear(session: SimplifiedSessionData):