🚀 Pandora: Major AI Enhancements, Async Transition, and Modular Updates 🎉

[dh4340]

🚀 Pandora: Major AI Enhancements, Async Transition, and Modular Updates 🎉

I'm excited to unveil a series of transformative updates to Pandora, taking its capabilities to the next level with a focus on asynchronous frameworks, modular design, and cutting-edge AI integration.

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🌟 What’s New?

1. Transition to an Async Framework

We’ve completely overhauled Pandora’s server to operate on an asynchronous framework. This shift enables:

• Non-blocking operations, improving performance and responsiveness under heavy workloads.
• Seamless handling of multiple requests for real-time applications.

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2. Enhanced Modular Design

To future-proof Pandora and simplify development, the codebase has been refactored into distinct modules:

• Ease of Maintenance: Clear separation of concerns for more manageable updates and debugging.
• Efficient Development: Modular architecture reduces dependencies and enhances scalability.

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3. Expanded AI Integration

Ollama Integration

• Advanced content generation capabilities now integrated across most endpoints.
• Delivers dynamic, high-quality responses for text, audio, and video.

Voice and Video Generation

• Voice Generation API: Simulates realistic conversations based on actor roles or defaults.
• Video Generation API: Creates short, professional-quality videos dynamically.
  • Endpoints: /video/{file_name} (GET & POST)

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4. Video Streaming

Pandora now supports dynamic video streaming alongside traditional file serving. This feature significantly expands its multimedia capabilities.

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🛠 Technical Enhancements

Key Features Added:

1. API Documentation Generation

   • Automatic Swagger documentation available at /docs, providing a comprehensive overview of all routes.

2. Dynamic Content Generation

   • Integrated Faker for generating realistic random data in responses.

3. Refined Imports

   • Improved efficiency of modules like zipstream, docx, PIL, and pptx.

4. Dynamic File Handling

   • Removed hard-coded paths for greater flexibility and security.

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Expanded HTTP and Content Support

• New HTTP Methods: Added support for PUT and DELETE requests, enabling broader request handling.
• Enhanced Response Types: Supports ZIP, binary, JSON, CSV, DOCX, PPTX, and more with encapsulated logic.

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Improved Error Handling

• Added detailed, specific error logging for better debugging and user feedback.

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🎥 New Feature Highlights

1. Voice Generation API

   • Realistic and natural voice simulations for any scenario.
   • Role flexibility: Define actor roles or use defaults.

2. Video Generation API

   • Generate professional-quality videos dynamically.
   • Designed for Hopper and Ampere GPUs with optimised resource utilisation.

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🔧 Next Steps

We’re actively working on:

1. Implementing unit tests for all API endpoints to ensure robust and reliable functionality.
2. Expanding support for additional file types and multimedia content.

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💡 Feedback Welcome!
I would love to hear your thoughts on this update! If you have ideas for improvement or feature requests, open an issue or join the discussion.

[nblair2]

hi @dh4340 - I started looking at pandora this evening and was able to get it running very quickly. Thanks for this cool tool!

I have 2 questions:

• how can I enable ssl? I tried updating the nginx.conf (uncommenting out the designated lines) and setting nginx_enabled=True in the app.config but it doesn't look like any connections are being accepted on port 443 (despite it being forwarded to the docker proxy)
• do I need a local ollama instance running ? or is the LLM already integrated into the docker container?