🎮 Pixeltable's Interactive AI Apps on Hugging Face

[pierrebrunelle]

We're excited to showcase our collection of interactive demos on Hugging Face Spaces that demonstrate Pixeltable's capabilities for multimodal AI workflows! Each app is built using Pixeltable's declarative infrastructure and showcases different aspects of AI application development.

🎭 Featured Applications

1. Multimodal Processing Suite

An all-in-one demo showcasing Pixeltable's capabilities for:

• 📚 Document Chat with RAG
• 🎥 Video Search (text and image-based)
• 🎙️ Call Analysis and Transcription

2. AI RPG Adventure

An interactive storytelling experience powered by:

• 🎲 Dynamic story generation
• 🤖 Contextual response generation
• 📊 Game state tracking using Pixeltable tables

3. Call Analysis AI Tool

Turn your video calls into actionable insights:

• 🗣️ Automatic transcription
• 📊 Key insights extraction
• 🔍 Sentiment analysis

4. Prompt Engineering and LLM Studio

A comprehensive environment for LLM experimentation:

• 🔄 Rapid prompt iteration
• 📈 Model comparison
• 📝 Response analysis

5. Object Detection in Videos

Real-time object detection showcase:

• 🎯 YOLOX model integration
• 🎥 Frame-by-frame processing
• 📊 Performance analytics

6. Video to Social Media Post Generator

Automated content creation pipeline:

• 🎬 Video processing
• 📱 Social media optimization
• ✍️ Caption generation

and many others...!

💡 Key Features Across All Apps

These demos showcase Pixeltable's core strengths:

1. Declarative Data Processing

# Example: Video frame extraction and analysis
frames_view = pxt.create_view(
    'frames', 
    videos_table,
    iterator=FrameIterator.create(video=videos_table.video)
)

2. Incremental Updates

# New data automatically triggers downstream processing
frames_view['detections'] = detect_objects(frames_view.frame)

3. Built-in Versioning

# All operations are automatically versioned
frames_view['embeddings'] = generate_embeddings(frames_view.frame)

4. Multimodal Support

• Text, images, video, and audio processing
• Seamless integration with popular AI models
• Vector indexing for similarity search

🚀 Try It Yourself

1. Visit Pixeltable on Hugging Face
2. Choose any app that interests you
3. Click "Duplicate Space" to run it with GPU support
4. Explore the source code to see how it's built with Pixeltable

🛠️ Build Your Own

Want to create similar apps? Get started with Pixeltable:

pip install pixeltable

Check out our documentation and GitHub repository for tutorials and examples.

🤝 Join the Community

• 💡 Share your ideas in Discussions
• 🐛 Report issues on GitHub
• ⭐ Star our repository
• 🎯 Contribute to existing apps or create new ones

Let us know which apps you'd like to see next and how you're using Pixeltable in your AI workflows!