Update README.md

README.md

@@ -20,7 +20,7 @@ pipeline_tag: text-generation
 
 A locally-run emotional intelligence AI model designed to provide empathetic, emotionally-aware responses with natural conversation flow.
 
-## 🚀 Features
+## Features
 
 - **Emotional Intelligence**: Designed to provide empathetic, understanding responses
 - **Local Operation**: Runs completely locally without external dependencies
@@ -29,7 +29,7 @@ A locally-run emotional intelligence AI model designed to provide empathetic, em
 - **Easy Integration**: Simple API for quick integration
 - **Flexible Configuration**: Customizable generation parameters
 
-## 📦 Installation
+## Installation
 
 ### Prerequisites
 
@@ -60,7 +60,7 @@ To use the actual Llama 3.2 3B model:
 - `microsoft/DialoGPT-small` (faster, smaller)
 - `HuggingFaceTB/SmolLM3-3B` (3B parameter model)
 
-## 🎯 Quick Start
+## Quick Start
 
 ### Basic Usage
 
@@ -99,7 +99,7 @@ response = model.chat("How are you feeling today?")
 print(response)
 ```
 
-## 🎮 Example Conversations
+## Example Conversations
 
 ```python
 # Example 1: Anxiety Support
@@ -119,7 +119,7 @@ response = model.generate_response("I'm confused about what I want to do with my
 # Output: "That's a really common and natural feeling, especially when we're at crossroads..."
 ```
 
-## ⚙️ Configuration
+## Configuration
 
 ### Model Parameters
 
@@ -138,7 +138,7 @@ response = model.generate_response("I'm confused about what I want to do with my
 - `max_new_tokens`: Maximum new tokens to generate (default: 256)
 - `repetition_penalty`: Penalty for repetition (default: 1.1)
 
-## 📊 Performance
+## Performance
 
 ### Model Specifications
 
@@ -154,7 +154,7 @@ response = model.generate_response("I'm confused about what I want to do with my
 - **8-bit Quantization**: ~500MB VRAM
 - **4-bit Quantization**: ~250MB VRAM (recommended)
 
-## 🔧 Advanced Usage
+## Advanced Usage
 
 ### Custom Generation Parameters
 
@@ -207,7 +207,7 @@ The model is fine-tuned on emotional intelligence scenarios:
 - Gratitude and appreciation
 - Overwhelm and responsibility management
 
-## 🏗️ Architecture
+## Architecture
 
 Brello EI 0 is built on advanced language model architecture with the following key components:
 
@@ -234,15 +234,15 @@ Brello EI 0 is built on advanced language model architecture with the following
 - Emotional validation and understanding
 - Positive reinforcement and encouragement
 
-## 🤝 Contributing
+## Contributing
 
 This model is part of the Epic Systems AI initiative. For questions or contributions, please contact the development team.
 
-## 📄 License
+## License
 
 This project is licensed under the MIT License - see the LICENSE file for details.
 
-## 🙏 Acknowledgments
+## Acknowledgments
 
 - **Epic Systems** for the vision and support
 - **Rehan Temkar** for engineering and development