refactor: Migrate from deprecated google.generativeai to google.genai package

- Update gemini_service.py to use new google.genai Client API
- Upgrade model to gemini-2.0-flash
- Update requirements.txt to use google-genai>=1.0.0

app/routes/commend/gemini_service.py

@@ -1,6 +1,7 @@
 """
 Gemini AI Service for Crown Commend
 Generates contextual YouTube comments using Google's Gemini API.
+Uses the new google.genai package (replacing deprecated google.generativeai).
 """
 
 from __future__ import annotations
@@ -8,32 +9,32 @@ from __future__ import annotations
 import os
 from typing import Optional, Tuple, List, Dict, Any
 
-import google.generativeai as genai
+from google import genai
+from google.genai import types
 
 from ...services.logging_config import get_logger
 
 logger = get_logger(__name__)
 
-# Gemini model configuration
-_model = None
+# Gemini client configuration
+_client = None
 
 
-def _get_model():
-    """Lazy-load Gemini model."""
-    global _model
+def _get_client():
+    """Lazy-load Gemini client."""
+    global _client
 
-    if _model is not None:
-        return _model
+    if _client is not None:
+        return _client
 
     api_key = os.getenv('COMMEND_GEMINI_API_KEY')
     if not api_key:
         raise ValueError("COMMEND_GEMINI_API_KEY environment variable is required")
 
     try:
-        genai.configure(api_key=api_key)
-        _model = genai.GenerativeModel('gemini-1.5-flash')
-        logger.info("Gemini model initialized successfully")
-        return _model
+        _client = genai.Client(api_key=api_key)
+        logger.info("Gemini client initialized successfully")
+        return _client
     except Exception as e:
         logger.error(f"Failed to initialize Gemini: {e}")
         raise ValueError(f"Gemini initialization failed: {e}")
@@ -42,7 +43,7 @@ def _get_model():
 def summarize_transcript(transcript_text: str, language: str) -> Tuple[Optional[str], Optional[str]]:
     """Video transcript'ini özetler."""
     try:
-        model = _get_model()
+        client = _get_client()
 
         if not transcript_text or len(transcript_text.strip()) < 50:
             return None, "Insufficient transcript data"
@@ -55,7 +56,10 @@ Bu video transcript'ini {language} dilinde 2-3 cümlelik kısa bir özet haline
 ONEMLI: Sadece özetin kendisini yaz, başka açıklama yapma.
 """
 
-        response = model.generate_content(prompt)
+        response = client.models.generate_content(
+            model="gemini-2.0-flash",
+            contents=prompt
+        )
         return response.text.strip(), None
 
     except Exception as e:
@@ -84,7 +88,7 @@ def generate_comment(
         (generated_comment, error_message)
     """
     try:
-        model = _get_model()
+        client = _get_client()
 
         # Format existing comments
         comment_section = "No comments available to analyze."
@@ -145,7 +149,10 @@ Iyi: "3:45'teki o detay gercekten onemli bir noktaydi, bu konuya hic bu acidan b
 **Yorumun:**
 """
 
-        response = model.generate_content(prompt)
+        response = client.models.generate_content(
+            model="gemini-2.0-flash",
+            contents=prompt
+        )
         generated_text = response.text.strip()
 
         # Clean up the response if needed

requirements.txt

@@ -46,7 +46,7 @@ yt-dlp>=2024.1.0
 spotdl>=4.2.4
 
 # === Crown Commend (YouTube Comment AI) ===
-google-generativeai>=0.8.3
+google-genai>=1.0.0
 google-api-python-client>=2.134.0
 google-auth-httplib2>=0.2.0
 google-auth-oauthlib>=1.2.0