Update README for HF Space

README.md

@@ -1,138 +1,55 @@
-# Agentic Market Research Orchestrator
-
-[![Python 3.12](https://img.shields.io/badge/python-3.12-blue.svg)](https://www.python.org/downloads/release/python-3120/)
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
-[![Code Style: Ruff](https://img.shields.io/badge/code%20style-ruff-000000.svg)](https://github.com/astral-sh/ruff)
-[![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=flat&logo=docker&logoColor=white)](https://www.docker.com/)
-[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/pkgprateek/agentic-market-research)
-
-> **Enterprise-grade multi-agent system for automated competitive intelligence.**  
-> Delivers comprehensive market research reports in 15 minutes at <1% of the cost of traditional methods.
-
+---
+title: Agentic Market Research
+emoji: 🔍
+colorFrom: blue
+colorTo: purple
+sdk: docker
+sdk_version: "5.0.0"
+app_file: src/ui/app.py
+pinned: false
 ---
 
-## 🚀 Overview
-
-The **Agentic Market Research Orchestrator** is a sophisticated AI system designed to automate the labor-intensive process of competitive market analysis. By orchestrating a team of specialized AI agents, it transforms a simple company name into a strategic intelligence report, covering SWOT analysis, competitor landscape, and market positioning.
-
-**Key Value Proposition:**
-*   **Speed:** Reduces research time from 20+ hours to ~15 minutes (80x faster).
-*   **Cost Efficiency:** Lowers cost from ~$3,000 to $0.50-$2.00 per report (1500x cheaper).
-*   **Scalability:** Standardized, reproducible outputs suitable for high-volume analysis.
-
-## 🏗️ Architecture
-
-The system utilizes a **LangGraph** state machine to coordinate three specialized agents, ensuring a robust and fault-tolerant workflow.
-
-```mermaid
-graph LR
-    Input[User Input] --> Research[Research Agent]
-    Research --> Analysis[Analysis Agent]
-    Analysis --> Writer[Writer Agent]
-    Writer --> Report[Final Intelligence Report]
-    
-    Research -.->|Tavily API| Web[Live Web Search]
-    Analysis -.->|LLM| Inference[Contextual Analysis]
-    Writer -.->|LLM| Formatting[Markdown Generation]
-    
-    style Research fill:#e1f5fe,stroke:#01579b
-    style Analysis fill:#fff3e0,stroke:#ef6c00
-    style Writer fill:#f3e5f5,stroke:#7b1fa2
-```
-
-### Agent Roles
-1.  **Research Agent:** Executes targeted web searches using Tavily API to gather raw data on competitors, pricing, and features.
-2.  **Analysis Agent:** Synthesizes raw data into structured insights, performing SWOT and gap analysis.
-3.  **Writer Agent:** Compiles insights into a professional, citation-backed Markdown report.
-
-## 🛠️ Tech Stack
-
-*   **Orchestration:** [LangGraph](https://langchain-ai.github.io/langgraph/) (State management & coordination)
-*   **LLM Integration:** [OpenRouter](https://openrouter.ai/) (Access to Claude 3.5 Sonnet, GPT-4o, etc.)
-*   **Search:** [Tavily AI](https://tavily.com/) (Optimized for LLM research)
-*   **Backend:** [FastAPI](https://fastapi.tiangolo.com/) (Async REST API)
-*   **Frontend:** [Gradio](https://www.gradio.app/) (Interactive UI)
-*   **Infrastructure:** Docker & Docker Compose
-
-## ⚡ Quick Start
-
-### Prerequisites
-*   Python 3.12+
-*   Docker (optional)
-*   API Keys: OpenRouter, Tavily
-
-### Local Installation
-
-1.  **Clone the repository:**
-    ```bash
-    git clone https://github.com/pkgprateek/agentic-market-research.git
-    cd agentic-market-research
-    ```
-
-2.  **Set up environment:**
-    ```bash
-    python -m venv venv
-    source venv/bin/activate
-    pip install uv && uv pip install -r requirements.txt
-    ```
-
-3.  **Configure credentials:**
-    ```bash
-    cp .env.example .env
-    # Edit .env with your OPENROUTER_API_KEY and TAVILY_API_KEY
-    ```
-
-4.  **Run the application:**
-    ```bash
-    # Run
-    python src/ui/app.py
-    # Open http://localhost:7860
-    ```
-
-### Docker Deployment
+# Agentic Market Research
 
-```bash
-docker-compose up --build
-```
+Multi-agent AI system for automated competitive intelligence. 80x faster than manual research.
 
-## 🧪 Testing & Quality Assurance
+## What It Does
 
-This project maintains high code quality standards with comprehensive testing and linting.
+Enter any company or product name → Get comprehensive market intelligence report in 15 minutes.
 
-## Testing
+**Includes:**
+- Competitor landscape analysis
+- SWOT assessment
+- Market positioning
+- Strategic recommendations
+- Professional citations
 
-Run the full test suite (Linting, Type Checking, Unit & Integration Tests):
+## How It Works
 
-```bash
-./scripts/run_all_tests.sh
-```
+Three specialized AI agents work in sequence:
 
-Or run individually:
+1. **Research Agent** - Web search + data gathering
+2. **Analysis Agent** - SWOT + competitive analysis  
+3. **Writer Agent** - Professional report generation
 
-```bash
-ruff check src/ tests/       # Linting
-mypy src/                    # Type Checking
-pytest tests/unit/ -v        # Unit Tests
-pytest tests/integration/ -v # Integration Tests
-```
+Powered by LangGraph orchestration with real-time cost tracking.
 
-## 📊 Performance Metrics
+## Cost
 
-| Metric | Manual Analyst | Agentic Orchestrator | Improvement |
-| :--- | :--- | :--- | :--- |
-| **Time to Report** | 20 Hours | 15 Minutes | **80x** |
-| **Cost per Report** | ~$3,000 | ~$1.50 | **2000x** |
-| **Consistency** | Variable | High | **Standardized** |
+- Free tier (Grok): $0.00
+- Production (Claude 4.5): $1-2 per analysis
 
-## 🤝 Contributing
+vs $3,000 for manual research.
 
-Contributions are welcome! Please feel free to submit a Pull Request.
+## Technology
 
-## 📄 License
+- LangGraph for multi-agent coordination
+- OpenRouter for LLM access (400+ models)
+- Tavily API for web search
+- FastAPI + Gradio deployment
 
-This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+**Source code:** [github.com/pkgprateek/agentic-market-research](https://github.com/pkgprateek/agentic-market-research)
 
 ---
 
-**Built by Prateek Kumar Goel**  
-[GitHub](https://github.com/pkgprateek) | [LinkedIn](https://linkedin.com/in/pkgprateek)
+Built by **Prateek Kumar Goel**