feat: Implement rating prompt feature across tools

- Added a rating prompt dispatch mechanism to various tools (ChatPdf, PdfFlowchart, QrCodeGenerator, SummarizePdf, TranslatePdf, TableExtractor) to encourage user feedback after tool usage.
- Introduced a new utility for handling rating prompts, including event dispatching and current tool identification.
- Updated the ToolRating component to manage user feedback submission, including UI enhancements and state management.
- Enhanced the sitemap generation script to include new routes for pricing and blog pages.
- Removed hardcoded API key in pdf_ai_service.py for improved security.
- Added a project status report documenting current implementation against the roadmap.
- Updated translations for rating prompts in Arabic, English, and French.
- Ensured consistency in frontend route registry and backend task processing.

backend/app/services/pdf_ai_service.py

@@ -8,7 +8,7 @@ import requests
 logger = logging.getLogger(__name__)
 
 # Configuration
-OPENROUTER_API_KEY = os.getenv("OPENROUTER_API_KEY", "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")
+OPENROUTER_API_KEY = os.getenv("OPENROUTER_API_KEY", "")
 OPENROUTER_MODEL = os.getenv("OPENROUTER_MODEL", "stepfun/step-3.5-flash:free")
 OPENROUTER_BASE_URL = os.getenv(
     "OPENROUTER_BASE_URL", "https://openrouter.ai/api/v1/chat/completions"