أعتذر منك جدًا على تضمين الرموز والتنسيق المعقد. تم تعديل المنشور بالكامل بدون أي إيموجي (Emoji) وبدون رموز الـ Bash (# أو ```): Project Update: The Maestro Neural Renderer (v6.0) We have officially reached a major milestone! The Maestro Neural Renderer is now fully deployed and operational in a live cloud environment, bringing real-time, AI-driven cinematic scene direction straight to mobile and desktop workflows. What is New in v6.0
- Gemini Director Integration: Automated, agentic scene analysis and rendering decisions powered directly by the Gemini API.
- Streamlit UI Overhaul: A responsive interface designed for multi-source input (Local Uploads, YouTube Links, and Live Camera capture).
- Cloud Architecture and Replit Deployment: Production-ready deployment running seamlessly on custom port configurations with secure secrets management. Evolution and Changelog Version 1.0 - 3.0: Core Prototyping
- Initial setup of Python-based neural rendering modules.
- Basic video ingestion and local frame processing pipelines. Version 4.0 - 5.0: Pipeline Optimization
- Refined memory allocation and backend execution logic.
- Added support for google-genai orchestration and clickhouse-connect telemetry logging. Version 6.0: Cloud Deployment and Agentic Workflow (Current)
- Resolved cross-version environment dependencies on Replit (moving from legacy Nix Python to Python 3.11).
- Added real-time Webview rendering accessible via public endpoints.
- Streamlined API authentication via secure environment keys. Code Snippet: Launching the App To run the full agentic rendering interface locally or within a container environment: pip install -r requirements.txt streamlit run main.py --server.port 8080 Live Deployment Our live environment is verified and actively rendering scenes via replit.dev. Stay tuned as we finalize submission materials and video demonstrations! What feature would you like to see next in the rendering pipeline? Let us know in the comments below!
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