product-marketing-agency 1.0.1

A comprehensive multi-agent marketing system for generating various types of product marketing images and content using the swarms framework

Product Marketing Agency

A comprehensive multi-agent system for generating professional product marketing images and content using the Swarms framework.

Quick Start

Installation

git clone https://github.com/The-Swarm-Corporation/Product-Marketing-Agency.git
cd Product-Marketing-Agency
pip install -r requirements.txt

Setup Environment

export OPENAI_API_KEY="your-openai-api-key"
# or
export GEMINI_API_KEY="your-gemini-api-key"

Basic Usage

from product_marketing_agency.main import ProductMarketingAgency

# Initialize the agency
agency = ProductMarketingAgency(model_name="gpt-4o")

# Create product profile
product_data = {
    "product_name": "Premium Wireless Headphones",
    "category": "Electronics",
    "key_features": ["Noise cancellation", "40-hour battery", "Premium sound"],
    "accessories": ["Charging cable", "Carrying case", "Audio cable"],
    "objectives": ["Showcase premium quality", "Highlight features"],
    "suggested_image_types": [1, 2, 3, 7, 9]
}

# Generate marketing campaign
agency.create_product_profile(product_data)
results = agency.run_campaign()

print(f"Generated {results['images_generated']} marketing images")

Run Interactive Mode

python product_marketing_agency/main.py

Features

10 Specialized Image Types

• Master Product Shot: Hero images showcasing the main product
• What's in the Box Flat Lay: Unboxing and contents display
• Extreme Macro Detail: Close-up shots highlighting craftsmanship
• Color/Style Variations: Product variants and options
• On-Foot Size Comparisons: Scale and sizing demonstrations
• Add a Model Two-Image Composite: Lifestyle modeling shots
• Lifestyle Action Shot: Products in real-world usage
• UGC Style Photos: User-generated content aesthetic
• Negative Space Banner: Clean promotional banners
• Shop the Look Flat Lay: Complete styling and accessory layouts

Multi-Agent Architecture

• Specialized agents for each image type
• Coordinated multi-agent workflows
• Rich interactive terminal interface
• Campaign reporting and analytics
• Batch processing capabilities

Documentation

For detailed documentation, examples, and advanced usage, see docs/README.md.

Support

• Issues: GitHub Issues
• Community: Discord Server

License

MIT License - see LICENSE file for details.

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Made by The Swarm Corporation