README.md

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title: StyleSync AI
emoji: 👟
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false

🚀 StyleSync AI

Autonomous E-Commerce Catalog Intelligence

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A multi-agent AI pipeline that converts raw product imagery into enterprise-grade, SEO-optimized e-commerce catalogs in seconds.

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🎯 Core Value Proposition

StyleSync AI eliminates the manual bottleneck of product catalog creation. By orchestrating Computer Vision, Retrieval-Augmented Generation (RAG), and Large Language Models in a seamless autonomous pipeline, it delivers production-ready product listings — from a single image upload — with zero human intervention.

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🏗️ System Architecture

The system employs a high-performance, event-driven architecture orchestrated by FastAPI:

👁️ Visual Analyst Agent

• Function: Zero-shot product image analysis
• Process: Extracts granular visual attributes — dominant colors, material composition, design style, branding elements, and product classification
• Engine: Gemini 2.5 Flash via the unified Google GenAI SDK (google-genai)

🧠 Semantic Memory Agent

• Function: RAG-based keyword retrieval with intelligent fallback
• Process: Vectorizes visual attributes to query a high-dimensional index, retrieving historically high-converting SEO keywords and market trends. When the database has no match for a niche, the Intelligence Fallback system autonomously generates keywords via Gemini — ensuring 0% empty results
• Engine: Pinecone Vector DB with gemini-embedding-001 embeddings (768 dimensions)

✍️ Writer Agent

• Function: High-conversion copy synthesis
• Process: Fuses visual intelligence with retrieved market data to generate persuasive, conversion-optimized titles, descriptions, and feature bullet points
• Engine: Meta Llama 3.3 70B (via Groq Cloud)

⚙️ Pipeline Orchestrator

• Function: Async pipeline management & delivery
• Process: Handles non-blocking agent execution, error propagation, and API lifecycle management. Results are delivered instantly through the Premium Glassmorphism UI
• Engine: FastAPI with async/await architecture

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🖥️ Production Interface

StyleSync AI ships with a Premium Glassmorphism UI built for instant catalog generation:

• 🎨 Frosted-glass aesthetic with dynamic gradient backgrounds
• 📤 Drag-and-drop image upload with real-time processing feedback
• 📊 Structured JSON output display for visual data, SEO keywords, and generated listings
• 📱 Fully responsive design across desktop, tablet, and mobile

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🛠️ Technology Stack

Layer	Technology	Purpose
Runtime	Python 3.10+	Core language
Framework	FastAPI	Async API orchestration
AI SDK	google-genai (Unified)	Vision & embedding inference
Vision Model	Gemini 2.5 Flash	Product image analysis
Embeddings	gemini-embedding-001	768-dim vector generation
Vector DB	Pinecone (Serverless)	Semantic keyword retrieval
LLM	Llama 3.3 70B (Groq)	Copywriting synthesis
UI	Glassmorphism / Tailwind CSS	Production dashboard
Deployment	Docker / Hugging Face Spaces	Containerized hosting

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📋 System Updates & Technical Milestones

Date	Milestone
Feb 2026	✅ Full migration from deprecated google-generativeai to unified google-genai SDK
Feb 2026	✅ Vision model upgraded to Gemini 2.5 Flash for industry-leading latency
Feb 2026	✅ Pinecone vector alignment to 768 dimensions with gemini-embedding-001 for mathematical precision
Feb 2026	✅ Intelligence Fallback system deployed — guarantees 0% empty SEO keyword results
Feb 2026	✅ n8n webhook decoupled — pipeline relies strictly on the Glassmorphism UI for delivery
Feb 2026	✅ Production Glassmorphism dashboard launched

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🚀 Quick Start

1. Environment Configuration

Create a .env file in the project root with the following keys:

GEMINI_API_KEY=your_google_genai_api_key
GROQ_API_KEY=your_groq_cloud_api_key
PINECONE_API_KEY=your_pinecone_api_key

2. Installation

pip install -r requirements.txt

3. Launch

python main.py

The production dashboard will be available at http://localhost:7860.

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📁 Project Structure

StyleSync-AI/
├── main.py                  # FastAPI orchestrator & pipeline logic
├── dashboard.html           # Glassmorphism production UI
├── Dockerfile               # Container deployment config
├── requirements.txt         # Python dependencies
├── agents/
│   ├── visual_analyst.py    # Gemini 2.5 Flash vision agent
│   ├── memory_agent.py      # Pinecone RAG + embedding agent
│   └── writer_agent.py      # Llama 3.3 copywriting agent
└── .env                     # Environment variables (not tracked)

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StyleSync AI — Autonomous catalog intelligence for modern e-commerce.