🎨 Smart Content Creator Assistant

A multi-agent AI system built with Phi Framework and Groq's LLaMA-3 model that automates social media content creation. The system uses specialized agents to research trends, generate engaging content, and optimize posts for different platforms.

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🚀 Features

• 🧠 Multi-Agent Architecture - 3 specialized AI agents working together
• 📱 Platform Optimization - Adapts content for Instagram, Twitter, LinkedIn
• 🔥 Real-Time Trends - Finds trending topics and hashtags
• 📊 Content Variations - Generates multiple versions for A/B testing
• ⚡ Fast Processing - Powered by Groq's ultra-fast LLMs

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🏗️ Agent Architecture

• Research Agent → Finds trending topics and hashtags using web search
• Content Agent → Creates engaging posts and captions
• Optimization Agent → Adapts content for different social platforms
• Orchestrator → Coordinates all agents for comprehensive output

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🛠️ Prerequisites

• Python 3.8+
• Groq API Key → Get it here
• Phi API Key → Get it here

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⚡ Quick Start

# Clone repository
git clone https://github.com/yourusername/smart-content-creator.git
cd smart-content-creator

# Create virtual environment
python -m venv venv
source venv/bin/activate  # For Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Set up environment variables
echo "GROQ_API_KEY=your_groq_api_key_here" > .env
echo "PHI_API_KEY=your_phi_api_key_here" >> .env

# Run the system
python main.py

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📝 Usage Examples

# Generate fitness content
content_creator_system.print_response(
    "Create Instagram posts for a fitness influencer focusing on home workouts",
    stream=True
)

# Create business content
content_creator_system.print_response(
    "Generate LinkedIn content for a tech startup launching an AI product",
    stream=True
)

# Multi-platform optimization
content_creator_system.print_response(
    "Create content about productivity tips and optimize for Instagram, Twitter, and LinkedIn",
    stream=True
)

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🌐 Web Interface

# Launch playground interface
python playground.py

# Open in browser
http://localhost:7777

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📦 Dependencies

• phidata
• groq
• python-dotenv
• duckduckgo-search
• requests
• beautifulsoup4

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🎯 Use Cases

• Marketing Agencies → Manage multiple client accounts efficiently
• Small Businesses → Automate social media presence
• Content Creators → Scale content production
• E-commerce → Generate product-focused social content

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📊 Sample Output

• ✅ Trending topic research with sources
• 📝 Platform-specific content variations
• 📊 Hashtag recommendations with engagement data
• 📋 Optimized formatting for each platform

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🔧 Customization

# Change content niche by modifying the query
content_creator_system.print_response("Your custom content request here", stream=True)

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🤝 Contributing

1. Fork the repository
2. Create feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

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🙏 Acknowledgments

• Phi Framework - Multi-agent AI framework
• Groq - Ultra-fast LLM inference
• DuckDuckGo - Privacy-focused search API