🚀 Dubsway Video AI - Groq Agentic System Guide

Overview

This guide will help you set up and run the enhanced agentic video analysis system using Groq with the Llama3-8b-8192 model. The system provides:

🤖 Agentic Analysis: Multi-modal video understanding with reasoning capabilities
🎯 MCP/ACP Integration: Model Context Protocol tools for enhanced analysis
🔍 Multi-modal Processing: Audio, visual, and text analysis
🌐 Web Integration: Real-time web search and Wikipedia lookups
📊 Beautiful Reports: Comprehensive, formatted analysis reports
💾 Enhanced Vector Storage: Better RAG capabilities with metadata

🛠️ Setup Instructions

1. Get Groq API Key

Visit Groq Console
Sign up for a free account
Get your API key from the dashboard

Set the environment variable:

set GROQ_API_KEY=your_key_here

Or add to your .env file:

GROQ_API_KEY=your_key_here

2. Install Dependencies

Run the setup script:

setup_agentic_system.bat

Or manually:

# Activate virtual environment
myenv31\Scripts\activate.bat

# Install dependencies
pip install -r requirements.txt

# Install Groq specifically
pip install langchain-groq

3. Test the System

Run the test script to verify everything is working:

python test_agentic_system.py

You should see: ``` 🚀 Dubsway Video AI - Agentic System Test

📦 Testing Dependencies

✅ opencv-python ✅ pillow ✅ torch ✅ transformers ✅ faster_whisper ✅ langchain ✅ langchain_groq ✅ duckduckgo-search ✅ wikipedia-api

🧪 Testing Groq Integration for Agentic Video Analysis

✅ GROQ_API_KEY found ✅ langchain-groq imported successfully ✅ Groq test successful: Hello from Groq!

🔍 Testing Enhanced Analysis Components

✅ Enhanced analysis imports successful ✅ MultiModalAnalyzer initialized successfully ✅ Agent created successfully

🤖 Testing Agentic Integration

✅ Agentic integration imports successful ✅ AgenticVideoProcessor initialized successfully ✅ MCPToolManager initialized successfully ✅ 5 tools registered

🎉 All tests passed! Your agentic system is ready to use.


## 🏃‍♂️ Running the Agentic System

### Option 1: Use Setup Script
```bash
setup_agentic_system.bat

Option 2: Manual Setup

# 1. Activate environment
myenv31\Scripts\activate.bat

# 2. Set API key
set GROQ_API_KEY=your_key_here

# 3. Run the daemon
python -m worker.daemon

Option 3: Start Server

start-server.bat

🔧 System Architecture

Enhanced Analysis Flow

Video Upload → Agentic Processor → Multi-modal Analysis
     ↓
┌─────────────────────────────────────────────────────┐
│ 1. Audio Analysis (Whisper + Emotion Detection)    │
│ 2. Visual Analysis (Object Detection + OCR)        │
│ 3. Agentic Reasoning (Groq Llama3-8b-8192)        │
│ 4. Web Search Integration                          │
│ 5. Wikipedia Lookups                               │
│ 6. Beautiful Report Generation                     │
│ 7. Enhanced Vector Storage                         │
└─────────────────────────────────────────────────────┘
     ↓
Comprehensive Analysis Report + PDF + Vector Embeddings

Key Components

MultiModalAnalyzer: Handles audio, visual, and text analysis
AgenticVideoProcessor: Orchestrates the entire analysis pipeline
MCPToolManager: Manages web search, Wikipedia, and other tools
Enhanced Vector Storage: Stores analysis with rich metadata

📊 Enhanced Features

Multi-modal Analysis

Audio: Transcription, emotion detection, speaker identification
Visual: Object detection, scene understanding, OCR text extraction
Text: Sentiment analysis, topic extraction, context enrichment

Agentic Capabilities

Reasoning: Advanced understanding using Groq Llama3
Context: Web search for additional information
Knowledge: Wikipedia lookups for detailed explanations
Insights: Actionable recommendations and analysis

Beautiful Reports

# 📹 Video Analysis Report

## 📊 Overview
- **Duration**: 120 seconds
- **Resolution**: 1920x1080
- **Language**: English

## 🎵 Audio Analysis
### Transcription Summary
[Enhanced transcription with context]

### Key Audio Segments
- **0.0s - 30.0s**: Introduction to the topic
- **30.0s - 60.0s**: Main content discussion
- **60.0s - 90.0s**: Technical details
- **90.0s - 120.0s**: Conclusion and summary

## 🎬 Visual Analysis
### Scene Breakdown
- **0.0s**: Presenter in office setting
- **30.0s**: Screen sharing with diagrams
- **60.0s**: Close-up of technical specifications
- **90.0s**: Return to presenter view

### Key Visual Elements
- **Person**: appears 45 times
- **Computer**: appears 12 times
- **Text**: appears 8 times
- **Diagram**: appears 5 times

## 🎯 Key Insights
### Topics Covered
- Artificial Intelligence
- Machine Learning
- Technology Innovation
- Business Applications

### Sentiment Analysis
- **Positive**: 75%
- **Negative**: 10%
- **Neutral**: 15%

### Important Moments
- **15s**: Key insight about AI applications
- **45s**: Technical breakthrough mentioned
- **75s**: Business impact discussion

## 📈 Recommendations
Based on the analysis, consider:
- Content engagement opportunities
- Areas for improvement
- Target audience insights

---
*Report generated using Groq Llama3-8b-8192*

🔍 Troubleshooting

Common Issues

GROQ_API_KEY not found
```
❌ GROQ_API_KEY environment variable not found!
```
Solution: Set the environment variable or add to .env file
Import errors
```
❌ Failed to import langchain-groq
```
Solution: Install with pip install langchain-groq
Agentic analysis fails
```
Agentic analysis failed, falling back to basic Whisper
```
Solution: Check Groq API key and internet connection
Memory issues
```
CUDA out of memory
```
Solution: Reduce batch size or use CPU processing

Performance Optimization

GPU Usage: The system automatically detects and uses CUDA if available
Batch Processing: Videos are processed one at a time to manage memory
Caching: Analysis results are cached to avoid reprocessing
Fallback: System falls back to basic analysis if enhanced features fail

🎯 Usage Examples

Basic Usage

from app.utils.agentic_integration import analyze_with_agentic_capabilities

# Process video with agentic capabilities
transcription, summary = await analyze_with_agentic_capabilities(
    video_url="https://example.com/video.mp4",
    user_id=1,
    db=session
)

Advanced Usage

from app.utils.enhanced_analysis import MultiModalAnalyzer

# Create analyzer with custom settings
analyzer = MultiModalAnalyzer(groq_api_key="your_key")

# Perform comprehensive analysis
analysis = await analyzer.analyze_video_enhanced("video.mp4")

# Access results
print(analysis.formatted_report)
print(analysis.audio_analysis)
print(analysis.visual_analysis)

📈 Benefits of Agentic System

Better Understanding: Multi-modal analysis provides deeper insights
Context Awareness: Web search and Wikipedia integration
Beautiful Output: Professional, formatted reports
Enhanced RAG: Better vector embeddings for retrieval
Open Source: Uses Groq's Llama3-8b-8192 model
Scalable: Handles multiple video formats and sizes
Reliable: Fallback to basic analysis if enhanced features fail

🔮 Future Enhancements

Real-time Processing: Stream video analysis
Custom Models: Integration with custom fine-tuned models
Advanced OCR: Better text extraction from videos
Emotion Detection: Advanced audio and visual emotion analysis
Multi-language: Support for multiple languages
API Endpoints: REST API for external integration

📞 Support

If you encounter issues:

Check the troubleshooting section above
Run python test_agentic_system.py to diagnose issues
Check the logs in worker.log
Ensure all dependencies are installed correctly
Verify your Groq API key is valid and has sufficient credits

Happy analyzing! 🎉