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Gaurav vashistha
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Add Hugging Face configuration
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README.md
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# MerchFlow AI
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> An autonomous multi-agent system that generates SEO-optimized e-commerce listings from product images.
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## The Architecture 🏗️
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MerchFlow AI utilizes a sophisticated multi-agent workflow to transform static product images into high-converting sales listings:
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* **👀 Visual Analyst**: Leverages **Gemini 1.5 Pro** to analyze product images, identifying key features, styles, and aesthetic nuances.
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* **🧠 Memory Agent**: Consults a **Pinecone Vector DB** to retrieve high-performing SEO keywords and market trends relevant to the visual analysis.
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* **✍️ Writer Agent**: Utilizes **Llama 3** (via Groq) to synthesize visual data and market insights into compelling, SEO-optimized sales copy.
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## Tech Stack 💻
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* **Backend Framework**: FastAPI
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* **Styling**: Tailwind CSS
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* **Language**: Python
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* **Containerization**: Docker
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* **AI/ML**: Google Gemini, Meta Llama 3, Pinecone
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## Installation & Setup 🛠️
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Clone the repository to your local machine:
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```bash
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git clone https://github.com/your-username/merchflow-ai.git
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cd merchflow-ai
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```
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Install the required dependencies:
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```bash
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pip install -r requirements.txt
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```
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## Configuration ⚙️
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Create a `.env` file in the root directory and add your API keys:
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```ini
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GROQ_API_KEY=your_groq_api_key
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PINECONE_API_KEY=your_pinecone_api_key
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GOOGLE_API_KEY=your_google_api_key
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```
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## Run 🚀
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Launch the efficient multi-agent system:
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```bash
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python launcher.py
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```
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## Demo 📸
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## License 📄
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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---
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title: MerchFlow AI
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emoji: 🚀
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colorFrom: blue
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colorTo: indigo
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sdk: docker
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pinned: false
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---
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# MerchFlow AI
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An AI-powered merchandising agent.
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