Update notification service

AppImage/scripts/ai_providers/gemini_provider.py

@@ -0,0 +1,74 @@
+"""Google Gemini provider implementation.
+
+Google's Gemini models offer a free tier and excellent quality/price ratio.
+Gemini 1.5 Flash is particularly fast and cost-effective.
+"""
+from typing import Optional
+from .base import AIProvider, AIProviderError
+
+
+class GeminiProvider(AIProvider):
+    """Google Gemini provider using the Generative Language API."""
+    
+    NAME = "gemini"
+    DEFAULT_MODEL = "gemini-1.5-flash"
+    REQUIRES_API_KEY = True
+    API_BASE = "https://generativelanguage.googleapis.com/v1beta/models"
+    
+    def generate(self, system_prompt: str, user_message: str,
+                 max_tokens: int = 200) -> Optional[str]:
+        """Generate a response using Google's Gemini API.
+        
+        Note: Gemini uses a different API format. System instructions
+        go in a separate systemInstruction field.
+        
+        Args:
+            system_prompt: System instructions
+            user_message: User message to process
+            max_tokens: Maximum response length
+            
+        Returns:
+            Generated text or None if failed
+            
+        Raises:
+            AIProviderError: If API key is missing or request fails
+        """
+        if not self.api_key:
+            raise AIProviderError("API key required for Gemini")
+        
+        url = f"{self.API_BASE}/{self.model}:generateContent?key={self.api_key}"
+        
+        # Gemini uses a specific format with contents array
+        payload = {
+            'systemInstruction': {
+                'parts': [{'text': system_prompt}]
+            },
+            'contents': [
+                {
+                    'role': 'user',
+                    'parts': [{'text': user_message}]
+                }
+            ],
+            'generationConfig': {
+                'maxOutputTokens': max_tokens,
+                'temperature': 0.3,
+            }
+        }
+        
+        headers = {
+            'Content-Type': 'application/json',
+        }
+        
+        result = self._make_request(url, payload, headers)
+        
+        try:
+            # Gemini returns candidates array with content parts
+            candidates = result.get('candidates', [])
+            if candidates:
+                content = candidates[0].get('content', {})
+                parts = content.get('parts', [])
+                if parts:
+                    return parts[0].get('text', '').strip()
+            raise AIProviderError("No content in response")
+        except (KeyError, IndexError) as e:
+            raise AIProviderError(f"Unexpected response format: {e}")