upd link

README.md

@@ -10,21 +10,54 @@ app_file: app.py
 pinned: false
 ---
 
-# Omniscient
-"The all-knowing AI that sees everything, knows everything"
+<div align="center">
 
-A versatile AI bot for image analysis and dataset curation with support for multiple AI models.
+# 🧠 Omniscient 
+### *"The all-knowing AI that sees everything, knows everything"*
 
-## Features
+[![Python](https://img.shields.io/badge/Python-3.8+-blue.svg)](https://python.org)
+[![License](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)
+[![Streamlit](https://img.shields.io/badge/Streamlit-1.35.0-red.svg)](https://streamlit.io)
+[![HuggingFace](https://img.shields.io/badge/🤗%20HuggingFace-Space-yellow.svg)](https://huggingface.co/spaces/Omniscient001/Omniscient)
 
-- **Dataset Curation**: Generate and curate image datasets
-- **Single Image Analysis**: Benchmark different AI models on individual images
-- **Agentic Analysis**: Multi-step AI reasoning and analysis
-- **Multiple AI Providers**: Support for OpenAI, Anthropic, and Google AI
+*A versatile AI bot for image analysis and dataset curation with support for multiple AI models*
 
-## Quick Start
+🎮 **[Try it Live on HuggingFace!](https://huggingface.co/spaces/Omniscient001/Omniscient)** *(Actively WIP)*
 
-### 1. Setup Environment
+</div>
+
+---
+
+## ✨ Features
+
+<table>
+<tr>
+<td width="50%">
+
+### 🗃️ **Dataset Curation**
+Generate and curate high-quality image datasets with intelligent filtering and categorization.
+
+### 🔍 **Single Image Analysis** 
+Benchmark different AI models on individual images with detailed performance metrics.
+
+</td>
+<td width="50%">
+
+### 🤖 **Agentic Analysis**
+Multi-step AI reasoning and analysis with advanced decision-making capabilities.
+
+### 🌐 **Multiple AI Providers**
+Seamless integration with OpenAI, Anthropic, and Google AI platforms.
+
+</td>
+</tr>
+</table>
+
+---
+
+## 🚀 Quick Start
+
+### 📋 **Step 1: Setup Environment**
 
 ```bash
 cd simple_G_ai_bot
@@ -33,112 +66,188 @@ cd simple_G_ai_bot
 Create a `.env` file in the project root:
 
 ```bash
-# .env
+# 🔐 .env
 OPENAI_API_KEY=your_openai_api_key_here
 ANTHROPIC_API_KEY=your_anthropic_api_key_here
 GOOGLE_API_KEY=your_google_api_key_here
 ```
 
-### 2. Install Dependencies
+### 📦 **Step 2: Install Dependencies**
 
 ```bash
 uv sync
 ```
 
-### 3. Usage Examples
+### 🎯 **Step 3: Usage Examples**
+
+<details>
+<summary><b>🏗️ Dataset Curation</b></summary>
 
-#### Dataset Curation
 Generate 50 urban outdoor samples:
 ```bash
 python main.py --mode data --samples 50 --urban --no-indoor
 ```
 
-#### Single Image Analysis
+</details>
+
+<details>
+<summary><b>⚡ Single Image Analysis</b></summary>
+
 Benchmark GPT-4o on 5 samples:
 ```bash
 python main.py --mode benchmark --models gpt-4o --samples 5
 ```
 
-#### Agentic Analysis
+</details>
+
+<details>
+<summary><b>🧠 Agentic Analysis</b></summary>
+
 Run multi-step analysis with Gemini:
 ```bash
 python main.py --mode agent --model gemini-2.5-pro --steps 10 --samples 5
 ```
 
-## Configuration
+</details>
+
+---
+
+## ⚙️ Configuration
+
+### 🔑 **Environment Variables**
+
+| Variable | Description | Status |
+|:---------|:------------|:------:|
+| `OPENAI_API_KEY` | OpenAI API key for GPT models | 🔶 Optional |
+| `ANTHROPIC_API_KEY` | Anthropic API key for Claude models | 🔶 Optional |
+| `GOOGLE_API_KEY` | Google AI API key for Gemini models | 🔶 Optional |
+
+### 🛠️ **Command Line Options**
+
+#### 🌟 **Common Options**
+- `--mode` → Operation mode (`data`, `benchmark`, `agent`)
+- `--samples` → Number of samples to process *(default: 10)*
+
+#### 🏙️ **Data Mode Options**  
+- `--urban` → Focus on urban environments
+- `--no-indoor` → Exclude indoor scenes
+
+#### 📊 **Benchmark Mode Options**
+- `--models` → AI model to use *(e.g., `gpt-4o`, `claude-3`, `gemini-pro`)*
+
+#### 🤖 **Agent Mode Options**
+- `--model` → AI model for agentic analysis  
+- `--steps` → Number of reasoning steps *(default: 5)*
+
+---
+
+## 🎯 Supported Models
+
+<div align="center">
+
+| Provider | Models | Status |
+|:--------:|:-------|:------:|
+| **🔵 OpenAI** | GPT-4o, GPT-4, GPT-3.5-turbo | ✅ Active |
+| **🟣 Anthropic** | Claude-3-opus, Claude-3-sonnet, Claude-3-haiku | ✅ Active |
+| **🔴 Google** | Gemini-2.5-pro, Gemini-pro, Gemini-pro-vision | ✅ Active |
 
-### Environment Variables
+</div>
 
-| Variable | Description | Required |
-|----------|-------------|----------|
-| `OPENAI_API_KEY` | OpenAI API key for GPT models | Optional |
-| `ANTHROPIC_API_KEY` | Anthropic API key for Claude models | Optional |
-| `GOOGLE_API_KEY` | Google AI API key for Gemini models | Optional |
+---
 
-### Command Line Options
+## 📋 Requirements
 
-#### Common Options
-- `--mode`: Operation mode (`data`, `benchmark`, `agent`)
-- `--samples`: Number of samples to process (default: 10)
+> **Prerequisites:**
+> - 🐍 Python 3.8+
+> - 📦 UV package manager  
+> - 🔑 Valid API keys for desired AI providers
 
-#### Data Mode Options
-- `--urban`: Focus on urban environments
-- `--no-indoor`: Exclude indoor scenes
+---
 
-#### Benchmark Mode Options
-- `--models`: AI model to use (e.g., `gpt-4o`, `claude-3`, `gemini-pro`)
+## 🔧 Installation
 
-#### Agent Mode Options
-- `--model`: AI model for agentic analysis
-- `--steps`: Number of reasoning steps (default: 5)
+<table>
+<tr>
+<td>
 
-## Supported Models
+**1️⃣** Clone the repository
+```bash
+git clone <repository-url>
+```
 
-- **OpenAI**: GPT-4o, GPT-4, GPT-3.5-turbo
-- **Anthropic**: Claude-3-opus, Claude-3-sonnet, Claude-3-haiku
-- **Google**: Gemini-2.5-pro, Gemini-pro, Gemini-pro-vision
+**2️⃣** Navigate to project directory
+```bash
+cd simple_G_ai_bot
+```
+
+</td>
+<td>
+
+**3️⃣** Create `.env` file with your API keys
+```bash
+touch .env
+# Add your API keys
+```
 
-## Requirements
+**4️⃣** Install dependencies
+```bash
+uv sync
+```
 
-- Python 3.8+
-- UV package manager
-- Valid API keys for desired AI providers
+</td>
+</tr>
+</table>
 
-## Installation
+**5️⃣** Run the bot with desired mode and options! 🎉
 
-1. Clone the repository
-2. Navigate to project directory: `cd simple_G_ai_bot`
-3. Create `.env` file with your API keys
-4. Install dependencies: `uv sync`
-5. Run the bot with desired mode and options
+---
 
-## Examples
+## 💡 Examples
 
-### Basic Dataset Generation
+### 🏗️ **Basic Dataset Generation**
 ```bash
 python main.py --mode data --samples 20
 ```
 
-### Urban Scene Analysis
+### 🌆 **Urban Scene Analysis**  
 ```bash
 python main.py --mode data --samples 30 --urban --no-indoor
 ```
 
-### Model Comparison
+### ⚔️ **Model Comparison**
 ```bash
+# GPT-4o Analysis
 python main.py --mode benchmark --models gpt-4o --samples 10
+
+# Claude-3 Analysis  
 python main.py --mode benchmark --models claude-3-opus --samples 10
 ```
 
-### Advanced Agentic Workflow
+### 🧠 **Advanced Agentic Workflow**
 ```bash
 python main.py --mode agent --model gemini-2.5-pro --steps 15 --samples 3
 ```
 
-## Security Note
+---
+
+## 🔐 Security Note
+
+> ⚠️ **Important**: Never commit your `.env` file to version control. Add `.env` to your `.gitignore` file to keep your API keys secure.
+
+---
+
+<div align="center">
+
+## 📜 License
+
+**MIT License** - see [LICENSE](LICENSE) file for details.
+
+---
 
-⚠️ **Important**: Never commit your `.env` file to version control. Add `.env` to your `.gitignore` file to keep your API keys secure.
+<img src="https://img.shields.io/badge/Made%20with-❤️-red.svg" alt="Made with love">
+<img src="https://img.shields.io/badge/AI%20Powered-🤖-blue.svg" alt="AI Powered">
+<img src="https://img.shields.io/badge/Open%20Source-💚-green.svg" alt="Open Source">
 
-## License
+**⭐ Star this repo if you find it useful!**
 
-MIT License - see LICENSE file for details.
+</div>