isage-apps 0.2.1

SAGE Applications - Real-world AI applications built on SAGE framework

SAGE Applications

Real-world AI applications built on the SAGE framework, showcasing end-to-end solutions for various domains.

Overview

isage-apps provides production-ready applications demonstrating SAGE's capabilities:

• Video Intelligence: Multi-model video analysis pipeline with CLIP and MobileNetV3
• Medical Diagnosis: AI-assisted medical image analysis for healthcare

Installation

Basic Installation

pip install isage-apps

Install with Specific Applications

# Video intelligence only
pip install isage-apps[video]

# Medical diagnosis only
pip install isage-apps[medical]

# All applications
pip install isage-apps[all]

Development Installation

cd packages/sage-apps
pip install -e ".[dev]"

📖 Quick Start

# Run video intelligence demo
pip install isage-apps[video]
python -m sage.apps.video.video_intelligence_pipeline --video path/to/video.mp4

# Run medical diagnosis demo
pip install isage-apps[medical]
python -m sage.apps.medical_diagnosis.run_diagnosis

Applications

1. Video Intelligence

Advanced video analysis pipeline combining multiple AI models:

• Frame sampling and preprocessing
• Zero-shot scene understanding (CLIP)
• Object classification (MobileNetV3)
• Temporal anomaly detection
• Sliding-window summarization
• Keyed event aggregation

Quick Start:

pip install isage-apps[video]
python -m sage.apps.video.video_intelligence_pipeline --video path/to/video.mp4

Features:

• Multi-model inference pipeline
• Real-time processing with SAGE operators
• Structured JSON output (timeline, summary, events)
• Console progress monitoring
• Graceful degradation (works offline with cached models)

Documentation: See sage/apps/video/README_intelligence_demo.md

2. Medical Diagnosis

AI-assisted diagnostic system for medical imaging:

• Multi-agent architecture (diagnostic, image analysis, report generation)
• Knowledge-based reasoning
• Structured medical reports
• Training and evaluation tools

Quick Start:

pip install isage-apps[medical]
python -m sage.apps.medical_diagnosis.run_diagnosis

Features:

• Agent-based diagnostic workflow
• Medical knowledge base integration
• Configurable diagnostic criteria
• Report generation

Documentation: See sage/apps/medical_diagnosis/README.md

Package Structure

sage-apps/
├── src/sage/apps/
│   ├── __init__.py
│   ├── video/                    # Video intelligence application
│   │   ├── video_intelligence_pipeline.py
│   │   ├── operators/            # SAGE operators for video
│   │   ├── config/               # Configuration files
│   │   └── README_intelligence_demo.md
│   └── medical_diagnosis/        # Medical diagnosis application
│       ├── run_diagnosis.py
│       ├── agents/               # Diagnostic agents
│       ├── config/               # Agent configurations
│       ├── data/                 # Medical datasets
│       └── README.md
└── tests/                        # Application tests

Dependencies

Core Framework

• isage-common - Common utilities
• isage-kernel - Runtime and operators
• isage-middleware - Services (SageDB, SageFlow, NeuroMem)
• isage-libs - Operator libraries

Application-Specific

Video Intelligence:

• opencv-python - Video processing
• torch - Deep learning
• transformers - CLIP and language models

Medical Diagnosis:

• pillow - Image processing
• scikit-learn - ML utilities

Usage Examples

Video Intelligence

from sage.apps.video.video_intelligence_pipeline import main

# Run with custom video
main(["--video", "my_video.mp4", "--max-frames", "100"])

Medical Diagnosis

from sage.apps.medical_diagnosis.run_diagnosis import run_diagnosis

# Run diagnostic pipeline
run_diagnosis(config_path="config/agent_config.yaml")

Development

Running Tests

pytest tests/

Code Quality

# Format code
black src/

# Lint
ruff check src/

# Type checking
mypy src/

CI/CD Notes

Video Intelligence:

• Requires HuggingFace model downloads (~170MB)
• Tagged with @test:skip in CI due to network restrictions
• Test locally with: python -m sage.apps.video.video_intelligence_pipeline

Medical Diagnosis:

• Works in CI (uses local data)
• Test with: pytest tests/test_medical_diagnosis.py

Contributing

See CONTRIBUTING.md for guidelines.

License

MIT License - see LICENSE for details.

Related Documentation

• SAGE Framework
• Video Intelligence Demo
• Medical Diagnosis
• CI Test Fix